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<channel>
	<title>Xu Han </title>
	<link>https://xuhanart.com</link>
	<description>Xu Han </description>
	<pubDate>Thu, 23 Jan 2020 04:25:54 +0000</pubDate>
	<generator>https://xuhanart.com</generator>
	<language>en</language>
	
		
	<item>
		<title>Home</title>
				
		<link>https://xuhanart.com/Home</link>

		<pubDate>Thu, 23 Jan 2020 04:25:54 +0000</pubDate>

		<dc:creator>Xu Han </dc:creator>

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		<description></description>
		
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	<item>
		<title>Cocooned</title>
				
		<link>https://xuhanart.com/Cocooned</link>

		<pubDate>Thu, 09 May 2019 16:42:08 +0000</pubDate>

		<dc:creator>Xu Han </dc:creator>

		<guid isPermaLink="true">https://xuhanart.com/Cocooned</guid>

		<description>
	
	

	Cocooned&#38;nbsp; &#38;nbsp; “囚”


May/2019Cocooned is a duration 21 days performance. 
I have worn a "cocoon" that I knitted by myself for 21 Days, including eating, transportation, traveling, attending class and sleeping. I forbid to speak during these days; instead I wrote or use devices’ system voice instead. I need to write in my diary every day about how my perception of myself changes, how my communication with others changes, and events in my immediate experience. The performance began on Apr.16 2019 12:00 pm and continue until May 7, 2019 12:00 pm. 
I want to explore: How could it change the limit and shape my body? How could this form alter my perception of this world? How could this form alter the communication between me and others? What will I learn from 21 Days about the way of “living”?












	
OBSERVATIONS
&#60;img width="3024" height="3780" width_o="3024" height_o="3780" data-src="https://freight.cargo.site/t/original/i/2d7abf1e17145b5f5770127e01e15c4aec2e76bea9a58512cbc221047ac2fc46/457D6570-C72F-446F-AC6B-149261D9AA56.JPG" data-mid="42590920" border="0" data-scale="14" src="https://freight.cargo.site/w/1000/i/2d7abf1e17145b5f5770127e01e15c4aec2e76bea9a58512cbc221047ac2fc46/457D6570-C72F-446F-AC6B-149261D9AA56.JPG" /&#62;


&#60;img width="3300" height="2550" width_o="3300" height_o="2550" data-src="https://freight.cargo.site/t/original/i/879eec40f2452184c57e8bf8eaf2a801a9fa4086b230bc17280d12c8a793c56d/cocooned-observations2.jpg" data-mid="42590800" border="0" data-scale="100" src="https://freight.cargo.site/w/1000/i/879eec40f2452184c57e8bf8eaf2a801a9fa4086b230bc17280d12c8a793c56d/cocooned-observations2.jpg" /&#62;&#60;img width="3300" height="2550" width_o="3300" height_o="2550" data-src="https://freight.cargo.site/t/original/i/b30fd14a8598282350ddb152d7cebd077d2e883cfc5fc40d81b174686d6ef778/cocooned-observations3.jpg" data-mid="42590801" border="0" data-scale="100" src="https://freight.cargo.site/w/1000/i/b30fd14a8598282350ddb152d7cebd077d2e883cfc5fc40d81b174686d6ef778/cocooned-observations3.jpg" /&#62;&#60;img width="3300" height="2550" width_o="3300" height_o="2550" data-src="https://freight.cargo.site/t/original/i/2f3e390a008abc423a074311a4416df5979f2dc80064098cf2451112acf041c4/cocooned-observations4.jpg" data-mid="42590802" border="0" data-scale="100" src="https://freight.cargo.site/w/1000/i/2f3e390a008abc423a074311a4416df5979f2dc80064098cf2451112acf041c4/cocooned-observations4.jpg" /&#62;&#60;img width="2072" height="1482" width_o="2072" height_o="1482" data-src="https://freight.cargo.site/t/original/i/4a4711ab22318849dbfc4c99e65350da45750ecdb1aa73b189e5c0a5a58a975b/Screen-Shot-2019-05-06-at-2.08.43-PM.png" data-mid="41875209" border="0" data-scale="19" src="https://freight.cargo.site/w/1000/i/4a4711ab22318849dbfc4c99e65350da45750ecdb1aa73b189e5c0a5a58a975b/Screen-Shot-2019-05-06-at-2.08.43-PM.png" /&#62;

	







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		<title>The Language of Tears</title>
				
		<link>https://xuhanart.com/The-Language-of-Tears</link>

		<pubDate>Fri, 11 May 2018 03:25:37 +0000</pubDate>

		<dc:creator>Xu Han </dc:creator>

		<guid isPermaLink="true">https://xuhanart.com/The-Language-of-Tears</guid>

		<description>
	The Language of Tears

眼泪的语言
Jan/2019 (created in May 2018)Xu made a tear machine that pushes out small amounts of liquid (tears) based on the facial expressions in "I dreamed a dream" from "Les Miserables". The main technique that she used was Machine Learning. Based on her own "normal" or "cry" labeled images, if the current frame of the actress' facial expression in the video is classified as "cry", it will trigger the dummy head drops water which can be seen as crying.

		

        

	


	
		

	
	
		
			
				
					
						PROCESS:
My project focused on the humanized extreme
emotion carrier--tears and how tears can be
defined as a language to build communication between human and machines.

						
For the psychological perspective of a human’s
tears, people like to have sad tears when seeing
something have in common with their
experiences. Also, people like to weep when
watching somebody’s weep in front of them
which could always trigger the sympathies in
their heart. People like to mimic the other
person’s facial expression when
communication. The emotions really
communicate with people and influence other
people’s feelings. I want to focus on these
humanized interaction and build the emotional
link between human and machines.

						Machines may not have real emotions
themselves but AI can help machines learn and
do what humans teach them to do. I admit
emotions are unpredictable and work as a key
feature of being human. But the human facial
expression, the physical situation always can
trace a human’s emotion. For instance, we can
get a conclusion whether one person is crying
when seeing the facial expression of that
human, or two light moving water traces
emerging under the eyes. So does AI. They
learn what kind of data expresses people’s
emotions, like facial expressions. AI could
learn and mimic human’s reaction based on
what we have on our face.




	
		
		
	
	
		
			
				
					
						
这个作品是我的第一个艺术装置，也是第一次完整的把机器学习技术运用到艺术作品中。这个作品利用了人的极端的情感载体--眼泪。然后怎么将眼泪定义为一种语言来构建人类和机器之间的情感沟通。这个作品希望通过眼泪的意向来寻求一种沟通中诗意的表达。

						
从心理学的角度来看,人们流悲伤的眼泪其中一个原因是他们看到和他们类似的悲
伤的经历;或者其他人在他们面前哭泣触
发了他们心底的悲悯与同情从而流泪。在沟通中, 人们往往喜欢模仿他人的面部
表情。对于机器来说，它们没有情感,但人工智能可以帮助机器去学习和做人类教
他们做的事。我承认情绪是很难预测和分
析的,但是人的部分情感是可以通过面部
的五官变化传递信息的，这些信息可以是数据，一种机器能够理解的方式。例如,
我们判断一个人是否在哭或哭过，可以看
他当下的表情,或者观察他眼下是否有泪痕。这些判断AI也可以做到。通过让机器
去学习大量的易于区分的表情图片，它就
可以预测新数据中的人物表情。例如我的
这个作品，我先让机器学习了大量的哭泣
和正常表情的照片，根据这些照片机器建
立学习模型，然后我给另外一个人的一组照片，它就会知道哪一张是哭泣，哪一张是正常表情。我就是通过这个技术完成了我的作品，然后根据机器学习给出的结果控制模型的眼泪。

					
				
			
		
	


					
				
			
		
	


	
		
		
	
	
		
			
				
					
						
这个作品是以一个现场实时表演
的方式呈现。这个模拟的人头面对着电影《悲惨世界》的片段《I
dreamed a dream》会根据所看的内容而流泪。

					
				
			
		
	




&#60;img width="2690" height="1376" width_o="2690" height_o="1376" data-src="https://freight.cargo.site/t/original/i/840654c6be05e6933d9f00075e044e27ea898c341706ca7937354d8fdd240834/Screen-Shot-2018-05-10-at-11.33.48-PM.png" data-mid="16191603" border="0" data-scale="100" src="https://freight.cargo.site/w/1000/i/840654c6be05e6933d9f00075e044e27ea898c341706ca7937354d8fdd240834/Screen-Shot-2018-05-10-at-11.33.48-PM.png" /&#62;

	
I made a Tears machine which helps by an online open source (Syringe Pump). This
machine pushes out small, accurate amounts of
liquid which helps the water dropping more
similar than the real tears from human. The tears need to be more controllable, so this
machine can smoothly control the water from
forward and backward by using Arduino.
Helped by machine learning, if the current
output image in the video is classified as cry,
then it will triggers the syringe from the tears
machine to push. So that the dummy head
drops water which can be see as crying.

	
		
		
	
	
		
			
				
					
眼泪机器: 灵感来源于网络上一个医疗为用途开放资源。水放入针管里面，机器可以移动针管的抽拉部分，从而可以推出像眼泪一样少量的液体。深蓝色的部件是3D打印完成。

				
			
		
	



	








	

					
				
			
		
	

	

For general machine learning steps, I first need to get training data to train the network. I took pictures of myself with crying and normal images. Each of them was around 2000 images. These were the training data. The main technique used in my machine learning part is called CNN(Convolutional Neural Network), it is a widely used technique in Deep Learning. By studying given dataset and corresponding labels (cry or not) the network is able to learn the underlying pattern of an image regarding if there is any characteristic of a crying person, for example, the shape of the mouth or shape of the eyes.&#38;nbsp;The code was adapted from here.&#38;nbsp;Then based on the model that I have. I have a new set of data in order to see whether the training model is accurate. I chose a section of the movie Les Miserables which is a song called I dreamed a dream. This is a super emotional song which the actress cried and sang at the same time. I want to use this song as my final new-data in order to express the idea of how my facial classification read the movie. I saved each frame inside the movie and run them through the model that I had. The result showed which images were crying, which images were normal.



	
		
		
	
	
		
			
				
					这个作品主要的技术是运用“机器学习”
。运用“机器学习”首先需要提供训练的大量的数据。为了得到这些数据，我自拍了2000张我的哭泣的照片和2000
张我正常表情的照片，机器学习技术可以学习哭的照片和不哭的照片有什么区别，
然后可以根据学习的结果进行预测。下一步，我把《悲惨世界》中的歌曲《我梦到了一个梦》(“I dreamed a dream”)
的视频的每一帧存取下来作为我的测试数据，根据我之前哭和不哭的学习结果可以
学习《悲惨世界》中女主角的表情是哭还是不哭。如果测试结果是“哭”就会触发我的眼泪机器，所以那个模型就会哭。也就是说当电影里的女演员在哭的时候,AI机器人检测到了，它也跟着一起留眼泪。

				
			
		
	


&#60;img width="3264" height="2215" width_o="3264" height_o="2215" data-src="https://freight.cargo.site/t/original/i/24c4cceab5745532e02475b488e68ddc300bcafeb12d3446c680c01f8d4c90c6/tempImageForSave.JPG" data-mid="22429502" border="0" data-scale="56" src="https://freight.cargo.site/w/1000/i/24c4cceab5745532e02475b488e68ddc300bcafeb12d3446c680c01f8d4c90c6/tempImageForSave.JPG" /&#62;&#38;nbsp; &#38;nbsp;&#60;img width="3024" height="3024" width_o="3024" height_o="3024" data-src="https://freight.cargo.site/t/original/i/863216c08a126497ff1986fc320803b68d800f2d4df384144e323f78ce7878cb/IMG_6274.jpg" data-mid="22429579" border="0" data-scale="38" src="https://freight.cargo.site/w/1000/i/863216c08a126497ff1986fc320803b68d800f2d4df384144e323f78ce7878cb/IMG_6274.jpg" /&#62;
&#60;img width="1332" height="592" width_o="1332" height_o="592" data-src="https://freight.cargo.site/t/original/i/1846b63463459567f6a5502ba3b7a9a5704af3cf62097bda86008aef38f2817e/IMG_6573.jpg" data-mid="21879621" border="0" data-scale="95" src="https://freight.cargo.site/w/1000/i/1846b63463459567f6a5502ba3b7a9a5704af3cf62097bda86008aef38f2817e/IMG_6573.jpg" /&#62;


	For the setting of the project, the dummy head
faced to the TV. Between TV and dummy head
was the tears machine. 
When the actress in the
movie was crying, AI robot detected it and
cried as well.

					
				
			
		
	


					
				
			
		
	

I made two books as one of my documentations. One was Prediction showed each frame in the movie&#38;nbsp; and how this image be seen in the code. The other one is Training, based on the model of Prediction, how computer seeing my facial expressions.&#38;nbsp;
	
&#60;img width="3853" height="2888" width_o="3853" height_o="2888" data-src="https://freight.cargo.site/t/original/i/597dad3d612ed976123be36568ed80219adafb2491e6bb2c74fa91657c1188cd/IMG_4947.JPG" data-mid="20959616" border="0"  src="https://freight.cargo.site/w/1000/i/597dad3d612ed976123be36568ed80219adafb2491e6bb2c74fa91657c1188cd/IMG_4947.JPG" /&#62;
Training Data Documentation
&#60;img width="4129" height="2956" width_o="4129" height_o="2956" data-src="https://freight.cargo.site/t/original/i/0b3c2decbee16888f961196506db9566d49bb7ec7ffb8ecb4a95ef78196e1093/1.jpg" data-mid="20960748" border="0"  src="https://freight.cargo.site/w/1000/i/0b3c2decbee16888f961196506db9566d49bb7ec7ffb8ecb4a95ef78196e1093/1.jpg" /&#62;
My ‘Crying’ Data Sets Examples&#60;img width="4129" height="2956" width_o="4129" height_o="2956" data-src="https://freight.cargo.site/t/original/i/c05bf6e9ab38a1f21995e5cace3b098b434271bc6a4d7ceabe83e0f45a6a4391/2.jpg" data-mid="20960740" border="0"  src="https://freight.cargo.site/w/1000/i/c05bf6e9ab38a1f21995e5cace3b098b434271bc6a4d7ceabe83e0f45a6a4391/2.jpg" /&#62;
My ‘Normal’ Data Sets Examples&#60;img width="4129" height="2956" width_o="4129" height_o="2956" data-src="https://freight.cargo.site/t/original/i/cbd99994d21ea98e9d265f616409641c3641b49e2d31e2e0afdef3e8275b8bd3/3.jpg" data-mid="20960743" border="0"  src="https://freight.cargo.site/w/1000/i/cbd99994d21ea98e9d265f616409641c3641b49e2d31e2e0afdef3e8275b8bd3/3.jpg" /&#62;
Test in my model--which picture is “ normal”, which is “cry”&#60;img width="4129" height="2956" width_o="4129" height_o="2956" data-src="https://freight.cargo.site/t/original/i/765b4bcffe31e332cd868b3f0fe486b661370aec74feedba790a810c5e4a7e5f/4.jpg" data-mid="20960751" border="0"  src="https://freight.cargo.site/w/1000/i/765b4bcffe31e332cd868b3f0fe486b661370aec74feedba790a810c5e4a7e5f/4.jpg" /&#62;

Prediction Data Documentation

&#60;img width="5100" height="3300" width_o="5100" height_o="3300" data-src="https://freight.cargo.site/t/original/i/1aa3b6251af536b6dfa157edce2278b0bcaa38cc54992a00597e861ffa0c3aa1/language-of-tears-book1.jpg" data-mid="20959788" border="0"  src="https://freight.cargo.site/w/1000/i/1aa3b6251af536b6dfa157edce2278b0bcaa38cc54992a00597e861ffa0c3aa1/language-of-tears-book1.jpg" /&#62;&#60;img width="5100" height="3300" width_o="5100" height_o="3300" data-src="https://freight.cargo.site/t/original/i/e5f872da4da70601a756fbad2e94788002c8361327024d39c5ce00eec257e8b8/language-of-tears-book.jpg" data-mid="20959789" border="0"  src="https://freight.cargo.site/w/1000/i/e5f872da4da70601a756fbad2e94788002c8361327024d39c5ce00eec257e8b8/language-of-tears-book.jpg" /&#62;

Each frame run through the model that I had. The result showed which images were crying, which images were normal. &#38;nbsp;












When the actress in the movie is crying, the AI robot detects it and cries as well.



&#60;img width="5100" height="3300" width_o="5100" height_o="3300" data-src="https://freight.cargo.site/t/original/i/c4b625ee64714f7c8c6c92bb62df3a9a00a8b6b82713100ece4e9235420fb8ab/language-of-tears-book2.jpg" data-mid="20959790" border="0"  src="https://freight.cargo.site/w/1000/i/c4b625ee64714f7c8c6c92bb62df3a9a00a8b6b82713100ece4e9235420fb8ab/language-of-tears-book2.jpg" /&#62;

I also made a sound piece called The Sound of Tears based on how the tears are dropped on a foil
steam pan. The sound of dropping tears and the sound from motor and syringe pump also could
indicate the sound of machine crying which echo my topic about language.

Sound of tears




</description>
		
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	<item>
		<title>Five Facts About Tears</title>
				
		<link>https://xuhanart.com/Five-Facts-About-Tears</link>

		<pubDate>Tue, 04 Dec 2018 05:01:53 +0000</pubDate>

		<dc:creator>Xu Han </dc:creator>

		<guid isPermaLink="true">https://xuhanart.com/Five-Facts-About-Tears</guid>

		<description>
	Five Facts About Tears

关于眼泪的五行诗

Dec/2018












	Five Facts About Tears is a video of art performance with five series of speculative wearable installations connecting my real tears. I want to explore the symbolic and hidden meaning behind “tears” and present them through objects in order to pursue the beauty of poetic. The last piece, I create a tears sensor. The material on my face is the conductive tape which links with the speaker on my mouth. When I cry, the circuit completes. So the speaker will play the sound of infant cry.

 
	





























	
Tears can be cooled.Tears can be eaten. Tears can be fake.Tears can influence vision.Tears finally can be a life song.
眼泪可以被吹干；

眼泪可以被吞噬；
眼泪可以被做假；
眼泪可以影响视线；

眼泪最终是生命的赞歌。


&#60;img width="1104" height="682" width_o="1104" height_o="682" data-src="https://freight.cargo.site/t/original/i/66105c813300859c0be1c43b89e10d0b44586e0877bc2902fe1a9555b69629f0/Screen-Shot-2019-01-21-at-12.43.20-PM.png" data-mid="33347534" border="0"  src="https://freight.cargo.site/w/1000/i/66105c813300859c0be1c43b89e10d0b44586e0877bc2902fe1a9555b69629f0/Screen-Shot-2019-01-21-at-12.43.20-PM.png" /&#62;






</description>
		
	</item>
		
		
	<item>
		<title>Face Font</title>
				
		<link>https://xuhanart.com/Face-Font</link>

		<pubDate>Wed, 06 Sep 2017 15:45:19 +0000</pubDate>

		<dc:creator>Xu Han </dc:creator>

		<guid isPermaLink="true">https://xuhanart.com/Face-Font</guid>

		<description>
	Face Font脸书



Oct/2016












	When sketching a face, we usually begin with identifying the face shape and using horizontal and vertical lines to locate eyebrow, eye, nose, mouse. Each face has its unique grid representation, which could be used to create different font based on its unique characteristics.



Therefore I tried different people faces to design their fonts. However, the created fonts could barely distinguish with each other as I expected. It seems all human faces create similar fonts. So I started to try fonts induced by different animals categories like mammal, insect and shellfish It’s interesting that those animals induced fonts differentiated significantly.
After that, I discovered one more thought-provoking observation that the fonts widely used today have more similarity with font induced by human facial features. A natural but interesting question came to my mind: what is the popular font (if exists) like in Age of Dinosaurs or in future if world is ruled by aliens from another planet?



	










当我们用素描去画一个人面部形态的时候，通常会通过横或竖的直线先去确定出 脸的大致形状以及眼睛，鼻子和嘴的位置。每一个人脸都会有他独特的面部网格，我们可以根据这些特殊的网格去设计 每一个人脸特殊的字体。 


我起初试着用不同人的脸去创建不同的英文字体。然而我发现这些字体的区分并不是很大，它们从外观上都很类似。所以我开始尝试用不同的动物的脸去设计，例如 哺乳动物，昆虫，海洋生物等等。我发现 通过这些动物的脸设计的英文字体区分更明显，也更生动。 


当我做完这些字体，有一个很有趣的发现。我们如今运用的英文字体其实和我用 人脸做的字体形象上很类似。也许这就印证了史迪芬·平克在他的《语言本能》书中的论断，人运用语言进行沟通是一种本能行为。所以也许表现这一种本能是来源于对自身形象的客观认知。很有趣的是， 如果世界被恐龙或外星人主宰，他们常用的字体也会像他们的脸的网格一样吗? 










&#60;img width="1296" height="792" width_o="1296" height_o="792" data-src="https://freight.cargo.site/t/original/i/e4c00472dda532ebc678afe50d28fd11a6a2891105f44d343acc296a87dbbf2e/Face-Font.jpg" data-mid="24529227" border="0"  src="https://freight.cargo.site/w/1000/i/e4c00472dda532ebc678afe50d28fd11a6a2891105f44d343acc296a87dbbf2e/Face-Font.jpg" /&#62;&#60;img width="1296" height="792" width_o="1296" height_o="792" data-src="https://freight.cargo.site/t/original/i/9a34d9c4961102ffe9665589e67661b97fad10a1996466619ad32bbe63a25985/Face-Font2.jpg" data-mid="24529228" border="0"  src="https://freight.cargo.site/w/1000/i/9a34d9c4961102ffe9665589e67661b97fad10a1996466619ad32bbe63a25985/Face-Font2.jpg" /&#62;&#60;img width="1296" height="792" width_o="1296" height_o="792" data-src="https://freight.cargo.site/t/original/i/f2bb3883a28ad9c29a409a0eed9fdcb5383136e69733771b9aad0218ca23853d/Face-Font4.jpg" data-mid="24529230" border="0"  src="https://freight.cargo.site/w/1000/i/f2bb3883a28ad9c29a409a0eed9fdcb5383136e69733771b9aad0218ca23853d/Face-Font4.jpg" /&#62;&#60;img width="1296" height="792" width_o="1296" height_o="792" data-src="https://freight.cargo.site/t/original/i/1e8a6952743a36eba7f7d9c206b81d0bfc0a14e4fa6fb77a1cf480c9b634183e/Face-Font3.jpg" data-mid="24529229" border="0"  src="https://freight.cargo.site/w/1000/i/1e8a6952743a36eba7f7d9c206b81d0bfc0a14e4fa6fb77a1cf480c9b634183e/Face-Font3.jpg" /&#62;&#60;img width="1296" height="792" width_o="1296" height_o="792" data-src="https://freight.cargo.site/t/original/i/d079f104175c824edff2b09296f533ab2343efcf1e7b339849d506f28353f586/Face-Font5.jpg" data-mid="24529232" border="0"  src="https://freight.cargo.site/w/1000/i/d079f104175c824edff2b09296f533ab2343efcf1e7b339849d506f28353f586/Face-Font5.jpg" /&#62;

</description>
		
	</item>
		
		
	<item>
		<title>Generative Posters</title>
				
		<link>https://xuhanart.com/Generative-Posters</link>

		<pubDate>Tue, 06 Feb 2018 03:30:16 +0000</pubDate>

		<dc:creator>Xu Han </dc:creator>

		<guid isPermaLink="true">https://xuhanart.com/Generative-Posters</guid>

		<description>Generative Visual Design
Jan/2018-May/2018














	Code written by Processing &#38;amp; p5.js. 

	

	
		
		
	
	
		
			
				
					
						

					
				
			
		
	



					
				
			
		
	




&#60;img width="600" height="403" width_o="600" height_o="403" data-src="https://freight.cargo.site/t/original/i/b34e2d1fad3e761908c24756f232a5c3f98cb94b18a78de0c728b17fd045f3ae/ezgif-2-ed1d3c7e1b.gif" data-mid="17428752" border="0" data-scale="92" src="https://freight.cargo.site/w/600/i/b34e2d1fad3e761908c24756f232a5c3f98cb94b18a78de0c728b17fd045f3ae/ezgif-2-ed1d3c7e1b.gif" /&#62;
&#60;img width="1392" height="1390" width_o="1392" height_o="1390" data-src="https://freight.cargo.site/t/original/i/1d791dde23d520a5eef57d612367d09afe1b7432752af9dadb0c432ddcce6a47/Screen-Shot-2018-03-12-at-11.01.55-PM.png" data-mid="17429313" border="0" data-scale="92" src="https://freight.cargo.site/w/1000/i/1d791dde23d520a5eef57d612367d09afe1b7432752af9dadb0c432ddcce6a47/Screen-Shot-2018-03-12-at-11.01.55-PM.png" /&#62;&#60;img width="1786" height="1698" width_o="1786" height_o="1698" data-src="https://freight.cargo.site/t/original/i/d2905fb85c7f46ba0bfa6b97dd54f14e68683a134f0f61fed26d88228611a990/Screen-Shot-2018-02-20-at-3.47.35-PM.png" data-mid="11702486" border="0" data-scale="93" src="https://freight.cargo.site/w/1000/i/d2905fb85c7f46ba0bfa6b97dd54f14e68683a134f0f61fed26d88228611a990/Screen-Shot-2018-02-20-at-3.47.35-PM.png" /&#62;

&#60;img width="1086" height="1036" width_o="1086" height_o="1036" data-src="https://freight.cargo.site/t/original/i/0c672c6102ec79d06ba2056fe44f3af501d5734a5aa9e4256df65586e4894b0e/Screen-Shot-2018-03-12-at-12.15.49-PM.png" data-mid="24440729" border="0" data-scale="96" src="https://freight.cargo.site/w/1000/i/0c672c6102ec79d06ba2056fe44f3af501d5734a5aa9e4256df65586e4894b0e/Screen-Shot-2018-03-12-at-12.15.49-PM.png" /&#62;
&#60;img width="1428" height="1444" width_o="1428" height_o="1444" data-src="https://freight.cargo.site/t/original/i/00bc7bfe2a1848159c41254774a37b073a6d3b9af8ee3f38c25b59165adaca6d/Screen-Shot-2018-02-21-at-10.49.27-AM.png" data-mid="11702505" border="0" data-scale="89" src="https://freight.cargo.site/w/1000/i/00bc7bfe2a1848159c41254774a37b073a6d3b9af8ee3f38c25b59165adaca6d/Screen-Shot-2018-02-21-at-10.49.27-AM.png" /&#62;

&#60;img width="1619" height="1200" width_o="1619" height_o="1200" data-src="https://freight.cargo.site/t/original/i/2f552feee5b774188958ed882fedcc1e98ee48c77cdc8a2e7fd7883d287bba6b/Screen-Shot-2018-03-05-at-10.46.15-PM.png" data-mid="17429353" border="0" data-scale="89" src="https://freight.cargo.site/w/1000/i/2f552feee5b774188958ed882fedcc1e98ee48c77cdc8a2e7fd7883d287bba6b/Screen-Shot-2018-03-05-at-10.46.15-PM.png" /&#62;

&#60;img width="2550" height="3300" width_o="2550" height_o="3300" data-src="https://freight.cargo.site/t/original/i/7ac9f9b3653ce782bd8b616258bda7a30b0ff93fa254d0e9c6ed446b16feaf44/Untitled-2.jpg" data-mid="11702477" border="0" data-scale="89" src="https://freight.cargo.site/w/1000/i/7ac9f9b3653ce782bd8b616258bda7a30b0ff93fa254d0e9c6ed446b16feaf44/Untitled-2.jpg" /&#62;&#60;img width="1152" height="1050" width_o="1152" height_o="1050" data-src="https://freight.cargo.site/t/original/i/2f600e0c47f02db46a87690780fe41296acc0ff4070c7480caabd43958f69576/Screen-Shot-2018-03-05-at-4.52.46-PM.png" data-mid="24373680" border="0" data-scale="93" src="https://freight.cargo.site/w/1000/i/2f600e0c47f02db46a87690780fe41296acc0ff4070c7480caabd43958f69576/Screen-Shot-2018-03-05-at-4.52.46-PM.png" /&#62;

&#60;img width="1193" height="1199" width_o="1193" height_o="1199" data-src="https://freight.cargo.site/t/original/i/178316856b286ef6b29c90d70ac7e2edb601f2d65b01f59d4c0b432ecef1522a/Screen-Shot-2018-02-12-at-2.50.46-PM-copy.jpg" data-mid="11702472" border="0" data-scale="87" src="https://freight.cargo.site/w/1000/i/178316856b286ef6b29c90d70ac7e2edb601f2d65b01f59d4c0b432ecef1522a/Screen-Shot-2018-02-12-at-2.50.46-PM-copy.jpg" /&#62;
 &#38;nbsp;
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&#60;img width="1084" height="1018" width_o="1084" height_o="1018" data-src="https://freight.cargo.site/t/original/i/195784807f4c119ca7a730b9cd52689ae65ac7644beae0417fde5606fef45e59/Screen-Shot-2018-03-12-at-12.35.58-PM.png" data-mid="17429314" border="0" data-scale="94" src="https://freight.cargo.site/w/1000/i/195784807f4c119ca7a730b9cd52689ae65ac7644beae0417fde5606fef45e59/Screen-Shot-2018-03-12-at-12.35.58-PM.png" /&#62;
&#60;img width="1586" height="1584" width_o="1586" height_o="1584" data-src="https://freight.cargo.site/t/original/i/28271d332c249a6eb06b47e89dddc44d2114ce00f9dc8d2b8fffd45dd104973e/Screen-Shot-2018-02-20-at-4.21.24-PM.png" data-mid="11702487" border="0" data-scale="91" src="https://freight.cargo.site/w/1000/i/28271d332c249a6eb06b47e89dddc44d2114ce00f9dc8d2b8fffd45dd104973e/Screen-Shot-2018-02-20-at-4.21.24-PM.png" /&#62;


&#60;img width="1430" height="1430" width_o="1430" height_o="1430" data-src="https://freight.cargo.site/t/original/i/90c4d397aecbcb7130a737be11c15307bc5021da5767eba33742d5b437d7797b/Screen-Shot-2018-02-21-at-10.52.48-AM.png" data-mid="11702506" border="0" data-scale="44" src="https://freight.cargo.site/w/1000/i/90c4d397aecbcb7130a737be11c15307bc5021da5767eba33742d5b437d7797b/Screen-Shot-2018-02-21-at-10.52.48-AM.png" /&#62;&#38;nbsp; &#38;nbsp; &#38;nbsp;&#60;img width="1434" height="1434" width_o="1434" height_o="1434" data-src="https://freight.cargo.site/t/original/i/250547fe3ed6c6884e1f440ef801857ef48080784602dd991d1290b54ef50b53/Screen-Shot-2018-02-21-at-4.14.35-PM.png" data-mid="11702504" border="0" data-scale="46" src="https://freight.cargo.site/w/1000/i/250547fe3ed6c6884e1f440ef801857ef48080784602dd991d1290b54ef50b53/Screen-Shot-2018-02-21-at-4.14.35-PM.png" /&#62;
&#60;img width="1832" height="1068" width_o="1832" height_o="1068" data-src="https://freight.cargo.site/t/original/i/10962686b888b14781d91c27c6b67b10cf8012377e127a5056d14219dfa55bd4/Screen-Shot-2018-03-07-at-11.05.48-AM.png" data-mid="17429325" border="0" data-scale="95" src="https://freight.cargo.site/w/1000/i/10962686b888b14781d91c27c6b67b10cf8012377e127a5056d14219dfa55bd4/Screen-Shot-2018-03-07-at-11.05.48-AM.png" /&#62;

&#60;img width="1554" height="1438" width_o="1554" height_o="1438" data-src="https://freight.cargo.site/t/original/i/6206f37b9cb7407871467589a90bebef8293b60bce8454a236f3094197900731/Screen-Shot-2018-02-14-at-4.09.54-PM.png" data-mid="11702476" border="0" data-scale="90" src="https://freight.cargo.site/w/1000/i/6206f37b9cb7407871467589a90bebef8293b60bce8454a236f3094197900731/Screen-Shot-2018-02-14-at-4.09.54-PM.png" /&#62;&#60;img width="1388" height="1400" width_o="1388" height_o="1400" data-src="https://freight.cargo.site/t/original/i/47d57091286133dd796ab09cb508cd9dedf7d353aab844f881edfddce81e39f8/Screen-Shot-2018-03-08-at-10.20.08-AM.png" data-mid="24373682" border="0"  src="https://freight.cargo.site/w/1000/i/47d57091286133dd796ab09cb508cd9dedf7d353aab844f881edfddce81e39f8/Screen-Shot-2018-03-08-at-10.20.08-AM.png" /&#62;

&#60;img width="1586" height="1544" width_o="1586" height_o="1544" data-src="https://freight.cargo.site/t/original/i/97ed5baa3402dc05f4cc62796dc3ed1d5d46e5115d3029b6b21c3605e196d837/Screen-Shot-2018-05-02-at-11.47.58-PM.png" data-mid="17429495" border="0" data-scale="89" src="https://freight.cargo.site/w/1000/i/97ed5baa3402dc05f4cc62796dc3ed1d5d46e5115d3029b6b21c3605e196d837/Screen-Shot-2018-05-02-at-11.47.58-PM.png" /&#62;&#60;img width="2550" height="3300" width_o="2550" height_o="3300" data-src="https://freight.cargo.site/t/original/i/d91764bc585cc12875dcdc37c7eb632d5ffae50511b707708d80dded537f6e1e/Untitled-1.jpg" data-mid="11702474" border="0"  src="https://freight.cargo.site/w/1000/i/d91764bc585cc12875dcdc37c7eb632d5ffae50511b707708d80dded537f6e1e/Untitled-1.jpg" /&#62;

&#60;img width="1588" height="1588" width_o="1588" height_o="1588" data-src="https://freight.cargo.site/t/original/i/6ffb5a1bc7834780a1427b2eec717612dc63acc96043a2ca8fadf299a417da5c/Screen-Shot-2018-02-11-at-5.23.54-PM.png" data-mid="11702463" border="0"  src="https://freight.cargo.site/w/1000/i/6ffb5a1bc7834780a1427b2eec717612dc63acc96043a2ca8fadf299a417da5c/Screen-Shot-2018-02-11-at-5.23.54-PM.png" /&#62;


&#60;img width="3300" height="2550" width_o="3300" height_o="2550" data-src="https://freight.cargo.site/t/original/i/ffcf029738409e4bd09dbef2720f056dfedec978ec68eb8dbb3cf73bcb373e2c/Untitled-1.jpg" data-mid="10926539" border="0"  src="https://freight.cargo.site/w/1000/i/ffcf029738409e4bd09dbef2720f056dfedec978ec68eb8dbb3cf73bcb373e2c/Untitled-1.jpg" /&#62;&#60;img width="796" height="798" width_o="796" height_o="798" data-src="https://freight.cargo.site/t/original/i/861df36d6561a88f0bba4db74d5fb835ca26d995ec24f36657ab6cf78caf08a8/Screen-Shot-2018-02-05-at-12.05.46-PM.png" data-mid="10715388" border="0" data-scale="100" src="https://freight.cargo.site/w/796/i/861df36d6561a88f0bba4db74d5fb835ca26d995ec24f36657ab6cf78caf08a8/Screen-Shot-2018-02-05-at-12.05.46-PM.png" /&#62;&#60;img width="1394" height="1400" width_o="1394" height_o="1400" data-src="https://freight.cargo.site/t/original/i/6e0ee053e841bb0fa11eb62e4ccaa5335c43690c1ba63c0b032b5026060bf58c/Screen-Shot-2018-03-08-at-10.46.06-AM.png" data-mid="24373683" border="0"  src="https://freight.cargo.site/w/1000/i/6e0ee053e841bb0fa11eb62e4ccaa5335c43690c1ba63c0b032b5026060bf58c/Screen-Shot-2018-03-08-at-10.46.06-AM.png" /&#62;
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&#60;img width="1268" height="1634" width_o="1268" height_o="1634" data-src="https://freight.cargo.site/t/original/i/0bf6b8e3944cdea3cccbf8e880b61d12cf21c675007c545cbfe2caa29d91ed11/Screen-Shot-2018-05-09-at-6.45.57-PM.png" data-mid="24373460" border="0"  src="https://freight.cargo.site/w/1000/i/0bf6b8e3944cdea3cccbf8e880b61d12cf21c675007c545cbfe2caa29d91ed11/Screen-Shot-2018-05-09-at-6.45.57-PM.png" /&#62;&#60;img width="1232" height="1537" width_o="1232" height_o="1537" data-src="https://freight.cargo.site/t/original/i/90599fcc8e0376f42239364252ce34b78903f945d630b689ef14c2f39162c0fb/Screen-Shot-2018-05-09-at-6.48.32-PM.png" data-mid="24373461" border="0"  src="https://freight.cargo.site/w/1000/i/90599fcc8e0376f42239364252ce34b78903f945d630b689ef14c2f39162c0fb/Screen-Shot-2018-05-09-at-6.48.32-PM.png" /&#62;
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&#60;img width="3300" height="3300" width_o="3300" height_o="3300" data-src="https://freight.cargo.site/t/original/i/d0ef7e127843eda7c77c059f7f2c4267d5d29cc8a9c8f71ee68685dfee33177b/Untitled-2.jpg" data-mid="10715252" border="0" data-scale="98" src="https://freight.cargo.site/w/1000/i/d0ef7e127843eda7c77c059f7f2c4267d5d29cc8a9c8f71ee68685dfee33177b/Untitled-2.jpg" /&#62;
&#60;img width="3300" height="4500" width_o="3300" height_o="4500" data-src="https://freight.cargo.site/t/original/i/22650124072c076286db3c02d22989fdb220dbb0fe10bb85bdc6345e5705ebd2/Untitled-111.jpg" data-mid="10715254" border="0" data-scale="100" src="https://freight.cargo.site/w/1000/i/22650124072c076286db3c02d22989fdb220dbb0fe10bb85bdc6345e5705ebd2/Untitled-111.jpg" /&#62;
&#60;img width="1180" height="1170" width_o="1180" height_o="1170" data-src="https://freight.cargo.site/t/original/i/16fdff307c5f2dd12f3791a7dec680d8ae52443691f92895e7109bf551db368b/Screen-Shot-2018-03-14-at-12.05.02-PM.png" data-mid="24373582" border="0"  src="https://freight.cargo.site/w/1000/i/16fdff307c5f2dd12f3791a7dec680d8ae52443691f92895e7109bf551db368b/Screen-Shot-2018-03-14-at-12.05.02-PM.png" /&#62;
&#60;img width="1188" height="1164" width_o="1188" height_o="1164" data-src="https://freight.cargo.site/t/original/i/0e3ddfc8ef477ad13fbca2da40ea97733ce58d51186854a8dd7c91726de43f96/Screen-Shot-2018-03-12-at-4.29.38-PM.jpg" data-mid="24373583" border="0"  src="https://freight.cargo.site/w/1000/i/0e3ddfc8ef477ad13fbca2da40ea97733ce58d51186854a8dd7c91726de43f96/Screen-Shot-2018-03-12-at-4.29.38-PM.jpg" /&#62;
&#60;img width="1473" height="1409" width_o="1473" height_o="1409" data-src="https://freight.cargo.site/t/original/i/12555b93259f5fef8904aa09f25120872d1d18913afa19be1ae23adcc54bfa12/Screen-Shot-2018-03-11-at-10.14.07-PM.png" data-mid="24373603" border="0"  src="https://freight.cargo.site/w/1000/i/12555b93259f5fef8904aa09f25120872d1d18913afa19be1ae23adcc54bfa12/Screen-Shot-2018-03-11-at-10.14.07-PM.png" /&#62;
	


	



</description>
		
	</item>
		
		
	<item>
		<title>Generative Typography</title>
				
		<link>https://xuhanart.com/Generative-Typography</link>

		<pubDate>Thu, 20 Jun 2019 00:35:19 +0000</pubDate>

		<dc:creator>Xu Han </dc:creator>

		<guid isPermaLink="true">https://xuhanart.com/Generative-Typography</guid>

		<description>Code Font
Jan/2018-May/2018














	Code written by Processing &#38;amp; p5.js. 

	

	
		
		
	
	
		
			
				
					
						

					
				
			
		
	



					
				
			
		
	



&#38;nbsp;&#38;nbsp;&#60;img width="6660" height="9174" width_o="6660" height_o="9174" data-src="https://freight.cargo.site/t/original/i/fb9d0d716cd564a5befc821af5096dd4f776a1e8c758154fcfd8034d3d8ec7af/poster-1-01.jpg" data-mid="45101521" border="0" data-scale="93" src="https://freight.cargo.site/w/1000/i/fb9d0d716cd564a5befc821af5096dd4f776a1e8c758154fcfd8034d3d8ec7af/poster-1-01.jpg" /&#62;

&#60;img width="800" height="990" width_o="800" height_o="990" data-src="https://freight.cargo.site/t/original/i/a5d700d58c2a88b6361eb5e21d95cc50029cac88c0daa3243f9f34d9ecd08de7/Untitled-1.jpg" data-mid="45101539" border="0"  src="https://freight.cargo.site/w/800/i/a5d700d58c2a88b6361eb5e21d95cc50029cac88c0daa3243f9f34d9ecd08de7/Untitled-1.jpg" /&#62;
 &#60;img width="1602" height="1160" width_o="1602" height_o="1160" data-src="https://freight.cargo.site/t/original/i/71a05a63d9b56dfe58b4ed3085541a7510e3b863d3f673230c7dfe31ff1b6a81/Screen-Shot-2018-03-01-at-9.23.59-PM.png" data-mid="45101932" border="0"  src="https://freight.cargo.site/w/1000/i/71a05a63d9b56dfe58b4ed3085541a7510e3b863d3f673230c7dfe31ff1b6a81/Screen-Shot-2018-03-01-at-9.23.59-PM.png" /&#62;&#38;nbsp; &#38;nbsp; &#38;nbsp; &#60;img width="1190" height="1544" width_o="1190" height_o="1544" data-src="https://freight.cargo.site/t/original/i/1b1fccb86ded78f9de2fa86f6f46d30aa1ac9d9a6f65c433cadb8076721121ce/Screen-Shot-2018-02-28-at-2.59.14-PM.png" data-mid="45101527" border="0" data-scale="96" src="https://freight.cargo.site/w/1000/i/1b1fccb86ded78f9de2fa86f6f46d30aa1ac9d9a6f65c433cadb8076721121ce/Screen-Shot-2018-02-28-at-2.59.14-PM.png" /&#62;
&#60;img width="2550" height="3900" width_o="2550" height_o="3900" data-src="https://freight.cargo.site/t/original/i/94599108d812392831da7e50f05d64ff3857a844ed1c851a61c649eaf8de99a2/Untitled-1.jpg" data-mid="45101929" border="0"  src="https://freight.cargo.site/w/1000/i/94599108d812392831da7e50f05d64ff3857a844ed1c851a61c649eaf8de99a2/Untitled-1.jpg" /&#62;
&#60;img width="6660" height="9174" width_o="6660" height_o="9174" data-src="https://freight.cargo.site/t/original/i/2fbdc8cbc961d9344344fee069f6189eddd9c761847dbdb2d9ac902f5a2fa068/poster-3-01.jpg" data-mid="45101520" border="0"  src="https://freight.cargo.site/w/1000/i/2fbdc8cbc961d9344344fee069f6189eddd9c761847dbdb2d9ac902f5a2fa068/poster-3-01.jpg" /&#62;

&#60;img width="1596" height="1374" width_o="1596" height_o="1374" data-src="https://freight.cargo.site/t/original/i/41b87649efe58d4af8700e6e8ee919ffb2987db57bf0811e2ad9f0d31a90d856/Screen-Shot-2018-02-28-at-1.59.04-PM.png" data-mid="45101910" border="0"  src="https://freight.cargo.site/w/1000/i/41b87649efe58d4af8700e6e8ee919ffb2987db57bf0811e2ad9f0d31a90d856/Screen-Shot-2018-02-28-at-1.59.04-PM.png" /&#62;
&#38;nbsp; &#38;nbsp; &#38;nbsp;
&#60;img width="1648" height="1506" width_o="1648" height_o="1506" data-src="https://freight.cargo.site/t/original/i/3efd27e2dce6b54140754ce8ffa35484f691c17e9ce779494cb3d59b69cb7ab1/Screen-Shot-2018-05-01-at-9.42.49-AM.png" data-mid="45101536" border="0"  src="https://freight.cargo.site/w/1000/i/3efd27e2dce6b54140754ce8ffa35484f691c17e9ce779494cb3d59b69cb7ab1/Screen-Shot-2018-05-01-at-9.42.49-AM.png" /&#62;
&#60;img width="1650" height="2700" width_o="1650" height_o="2700" data-src="https://freight.cargo.site/t/original/i/c6d8f233826caf54cf455cda2b9289c111f2cdc509740acc4f93fc1911b4d79f/noisy-font.jpg" data-mid="45101933" border="0"  src="https://freight.cargo.site/w/1000/i/c6d8f233826caf54cf455cda2b9289c111f2cdc509740acc4f93fc1911b4d79f/noisy-font.jpg" /&#62;

&#60;img width="1088" height="1354" width_o="1088" height_o="1354" data-src="https://freight.cargo.site/t/original/i/919c9790ee7c91b73dfddfaf0381a145c01d8b681633e013e4948355a8b49ad5/Screen-Shot-2018-02-28-at-3.30.42-PM.png" data-mid="45101528" border="0" data-scale="98" src="https://freight.cargo.site/w/1000/i/919c9790ee7c91b73dfddfaf0381a145c01d8b681633e013e4948355a8b49ad5/Screen-Shot-2018-02-28-at-3.30.42-PM.png" /&#62;

	&#60;img width="2398" height="1424" width_o="2398" height_o="1424" data-src="https://freight.cargo.site/t/original/i/d592d95960d78b0e11f891b2813ccaf5737e9978cdba9cf25f64da41474ab637/Screen-Shot-2018-01-29-at-10.14.33-PM.png" data-mid="45101783" border="0"  src="https://freight.cargo.site/w/1000/i/d592d95960d78b0e11f891b2813ccaf5737e9978cdba9cf25f64da41474ab637/Screen-Shot-2018-01-29-at-10.14.33-PM.png" /&#62;


	&#60;img width="1748" height="1258" width_o="1748" height_o="1258" data-src="https://freight.cargo.site/t/original/i/697b6edc39ac2dc842205881a7dca66607ebe9f8c2f27887835e9490dea0ccde/Screen-Shot-2018-01-31-at-11.57.58-PM.png" data-mid="45101799" border="0"  src="https://freight.cargo.site/w/1000/i/697b6edc39ac2dc842205881a7dca66607ebe9f8c2f27887835e9490dea0ccde/Screen-Shot-2018-01-31-at-11.57.58-PM.png" /&#62;



</description>
		
	</item>
		
		
	<item>
		<title>Blooming Impression</title>
				
		<link>https://xuhanart.com/Blooming-Impression</link>

		<pubDate>Fri, 11 May 2018 00:15:29 +0000</pubDate>

		<dc:creator>Xu Han </dc:creator>

		<guid isPermaLink="true">https://xuhanart.com/Blooming-Impression</guid>

		<description>
	Blooming Impression

May/2018
















	In this project, I tried to use code to mimic the action of the kaleidoscope by using Monet’s paintings as sources. My goal is to present a traditional painting in a different way. By using kaleidoscope, I want to transform images from static status into moving pattern.

Kaleidoscope can be seen as moving tiles and texture design, bringing new combination of colors and shapes, which inherit but differentiate from the original view. Considering this special property of Kaleidescope, Monet’s painting is a very ideal option due to its emphasis on rich depiction of light in its changing qualities.

Claude Monet is my favorite artist in French Impressionist. He was the most consistent and prolific practitioner of the movement's philosophy of expressing one's perceptions before nature, especially as applied to plein air landscape painting. Specifically, I like his combination of color and how he use color to sculpt landscapes. He built subtle relationships between warm and cold colors. I always impressed by his beautiful and deluxe colors which could be varies and detailed through every painting.  I think it is interesting to use kaleidoscope to divided his painting into small pieces and then mirrored or reflected into a new moving art work.For the technical part,&#38;nbsp; I use noise() function to move smoothly and slowly through the painting by capturing small tiles in the painting, and then mirrored the tile, and update velocity and position. This work combines the topics of Tile Graphics, Noise, Pixel Data and Animation that we learned about in this class.



 
	
这个作品我用编程模仿万花筒的方式去展
现莫奈的绘画作品。通过这个作品我希望
去赋予一个传统绘画新的生命，用一种动态的角度去看待一个细节与色彩丰富的静
态的艺术作品。

						
这些图片全部为视频的截图，视频的移动
和变化是通过移动原作并赋予万花筒的效
果并复制叠加而成。

					
				
			
		
	





	&#60;img width="1578" height="1582" width_o="1578" height_o="1582" data-src="https://freight.cargo.site/t/original/i/4f70b37fb506e15759a4df87d0c947fff9ac40a0f2cb5dcc4768839d50678267/Screen-Shot-2018-05-09-at-4.06.30-PM.png" data-mid="16189379" border="0"  src="https://freight.cargo.site/w/1000/i/4f70b37fb506e15759a4df87d0c947fff9ac40a0f2cb5dcc4768839d50678267/Screen-Shot-2018-05-09-at-4.06.30-PM.png" /&#62;
&#60;img width="1588" height="1586" width_o="1588" height_o="1586" data-src="https://freight.cargo.site/t/original/i/8fd2d9bd1f0e4b67858e26d04918aa1057d761728bd4e0424d59618e9572e682/Screen-Shot-2018-05-09-at-4.07.05-PM.png" data-mid="16189384" border="0"  src="https://freight.cargo.site/w/1000/i/8fd2d9bd1f0e4b67858e26d04918aa1057d761728bd4e0424d59618e9572e682/Screen-Shot-2018-05-09-at-4.07.05-PM.png" /&#62;

	&#60;img width="1572" height="1576" width_o="1572" height_o="1576" data-src="https://freight.cargo.site/t/original/i/f446328c5ef973e5a56a71dfa19e76ec4163d941cacc3fe1f6e7b94ff83d2b32/Screen-Shot-2018-05-09-at-5.53.21-PM.png" data-mid="16189380" border="0"  src="https://freight.cargo.site/w/1000/i/f446328c5ef973e5a56a71dfa19e76ec4163d941cacc3fe1f6e7b94ff83d2b32/Screen-Shot-2018-05-09-at-5.53.21-PM.png" /&#62;&#60;img width="1578" height="1588" width_o="1578" height_o="1588" data-src="https://freight.cargo.site/t/original/i/0fdb1a0c5da92592c04c18d45ed3bc858301b8e4e49ac9e6de3c0c718a533bda/Screen-Shot-2018-05-09-at-3.24.16-PM.png" data-mid="16189388" border="0"  src="https://freight.cargo.site/w/1000/i/0fdb1a0c5da92592c04c18d45ed3bc858301b8e4e49ac9e6de3c0c718a533bda/Screen-Shot-2018-05-09-at-3.24.16-PM.png" /&#62;


	&#60;img width="1582" height="1590" width_o="1582" height_o="1590" data-src="https://freight.cargo.site/t/original/i/1153f3a7dfb7f3cf48343f1a95aa8c3c1852c8372626179a43cf33bda5fbf0ee/Screen-Shot-2018-05-09-at-4.06.19-PM.png" data-mid="16189381" border="0"  src="https://freight.cargo.site/w/1000/i/1153f3a7dfb7f3cf48343f1a95aa8c3c1852c8372626179a43cf33bda5fbf0ee/Screen-Shot-2018-05-09-at-4.06.19-PM.png" /&#62;&#60;img width="1570" height="1578" width_o="1570" height_o="1578" data-src="https://freight.cargo.site/t/original/i/06cacad0a94671f41855e50000d4ae2b251d573c15d0318134c2f8c6d5369f8c/Screen-Shot-2018-05-09-at-4.18.58-PM.png" data-mid="16189389" border="0"  src="https://freight.cargo.site/w/1000/i/06cacad0a94671f41855e50000d4ae2b251d573c15d0318134c2f8c6d5369f8c/Screen-Shot-2018-05-09-at-4.18.58-PM.png" /&#62;





Impression, Sunrise 1872


&#60;img width="976" height="800" width_o="976" height_o="800" data-src="https://freight.cargo.site/t/original/i/38f3c83f4244205fd0b1ded5fc3e1053a27f2161468fa8ba0cbe2625ab7af2e2/10.jpg" data-mid="16190424" border="0" data-scale="39" src="https://freight.cargo.site/w/976/i/38f3c83f4244205fd0b1ded5fc3e1053a27f2161468fa8ba0cbe2625ab7af2e2/10.jpg" /&#62;


&#60;img width="1748" height="1750" width_o="1748" height_o="1750" data-src="https://freight.cargo.site/t/original/i/724d1a8dcbf4153d7db02bac45c7e504aed0373a7cf2a3b8a947436de3da3dc7/Screen-Shot-2018-05-10-at-10.47.36-PM.png" data-mid="16191008" border="0"  src="https://freight.cargo.site/w/1000/i/724d1a8dcbf4153d7db02bac45c7e504aed0373a7cf2a3b8a947436de3da3dc7/Screen-Shot-2018-05-10-at-10.47.36-PM.png" /&#62;
&#60;img width="1746" height="1748" width_o="1746" height_o="1748" data-src="https://freight.cargo.site/t/original/i/8a331cd0ee195e5ff5b623e4e411e0f083927088091c749590ecfaf276b2c883/Screen-Shot-2018-05-10-at-10.46.45-PM.png" data-mid="16191006" border="0"  src="https://freight.cargo.site/w/1000/i/8a331cd0ee195e5ff5b623e4e411e0f083927088091c749590ecfaf276b2c883/Screen-Shot-2018-05-10-at-10.46.45-PM.png" /&#62;
	&#60;img width="1748" height="1740" width_o="1748" height_o="1740" data-src="https://freight.cargo.site/t/original/i/4fa4285747fc72c9944117ad132565cea7c8f06e3365d7d88e265c5e01b9563c/Screen-Shot-2018-05-10-at-10.49.28-PM.png" data-mid="16190981" border="0"  src="https://freight.cargo.site/w/1000/i/4fa4285747fc72c9944117ad132565cea7c8f06e3365d7d88e265c5e01b9563c/Screen-Shot-2018-05-10-at-10.49.28-PM.png" /&#62;
&#60;img width="1752" height="1746" width_o="1752" height_o="1746" data-src="https://freight.cargo.site/t/original/i/b0601bc95322ba80739fc786d126d40c75df152ee8f581820e66245d15e20015/Screen-Shot-2018-05-10-at-10.47.19-PM.png" data-mid="16191014" border="0"  src="https://freight.cargo.site/w/1000/i/b0601bc95322ba80739fc786d126d40c75df152ee8f581820e66245d15e20015/Screen-Shot-2018-05-10-at-10.47.19-PM.png" /&#62;

	&#60;img width="1746" height="1742" width_o="1746" height_o="1742" data-src="https://freight.cargo.site/t/original/i/2b68bf8a38da82736f915059a4d1d1a0985f3513a4f0d7d80999ba1918ab5e0f/Screen-Shot-2018-05-10-at-10.48.03-PM.png" data-mid="16191005" border="0"  src="https://freight.cargo.site/w/1000/i/2b68bf8a38da82736f915059a4d1d1a0985f3513a4f0d7d80999ba1918ab5e0f/Screen-Shot-2018-05-10-at-10.48.03-PM.png" /&#62;&#60;img width="1748" height="1750" width_o="1748" height_o="1750" data-src="https://freight.cargo.site/t/original/i/dd77d5e6968be0a93c133b383462037237c0d9bc231807ab46b613fcbd820454/Screen-Shot-2018-05-10-at-10.46.31-PM.png" data-mid="16190985" border="0"  src="https://freight.cargo.site/w/1000/i/dd77d5e6968be0a93c133b383462037237c0d9bc231807ab46b613fcbd820454/Screen-Shot-2018-05-10-at-10.46.31-PM.png" /&#62;








	

Sea-Roses (Yellow Nirwana), after 1916



&#60;img width="1024" height="471" width_o="1024" height_o="471" data-src="https://freight.cargo.site/t/original/i/330a40ca5e41372e44c1025fb8a9e706e58fb68d983016b07a4c7fd6978018b0/17.jpg" data-mid="16190871" border="0" data-scale="54" src="https://freight.cargo.site/w/1000/i/330a40ca5e41372e44c1025fb8a9e706e58fb68d983016b07a4c7fd6978018b0/17.jpg" /&#62;



	&#60;img width="1744" height="1742" width_o="1744" height_o="1742" data-src="https://freight.cargo.site/t/original/i/7dd200263ad6bc9cb9de0b63b55028a3e9f0b14a4b8dc892bea88b1121fba014/Screen-Shot-2018-05-10-at-10.07.58-PM.png" data-mid="16190289" border="0"  src="https://freight.cargo.site/w/1000/i/7dd200263ad6bc9cb9de0b63b55028a3e9f0b14a4b8dc892bea88b1121fba014/Screen-Shot-2018-05-10-at-10.07.58-PM.png" /&#62;
&#60;img width="1732" height="1712" width_o="1732" height_o="1712" data-src="https://freight.cargo.site/t/original/i/681623b856ed6cbfb0119c86e21187586225474fe94594bb3324a193c38a9268/Screen-Shot-2018-05-10-at-10.10.34-PM.png" data-mid="16190354" border="0"  src="https://freight.cargo.site/w/1000/i/681623b856ed6cbfb0119c86e21187586225474fe94594bb3324a193c38a9268/Screen-Shot-2018-05-10-at-10.10.34-PM.png" /&#62;

	
&#60;img width="1742" height="1728" width_o="1742" height_o="1728" data-src="https://freight.cargo.site/t/original/i/918e5c2b03e0a293a8caf4ae91c0a6288ea011cf95ae33a3a1da829bd6db8cec/Screen-Shot-2018-05-10-at-10.08.50-PM.png" data-mid="16190348" border="0"  src="https://freight.cargo.site/w/1000/i/918e5c2b03e0a293a8caf4ae91c0a6288ea011cf95ae33a3a1da829bd6db8cec/Screen-Shot-2018-05-10-at-10.08.50-PM.png" /&#62;
&#60;img width="1740" height="1730" width_o="1740" height_o="1730" data-src="https://freight.cargo.site/t/original/i/76bdc46367f5b93abf7e60435e48e2fbfda2efd3e2932555056ad5c793f3a080/Screen-Shot-2018-05-10-at-10.09.35-PM.png" data-mid="16190353" border="0"  src="https://freight.cargo.site/w/1000/i/76bdc46367f5b93abf7e60435e48e2fbfda2efd3e2932555056ad5c793f3a080/Screen-Shot-2018-05-10-at-10.09.35-PM.png" /&#62;

	&#60;img width="1734" height="1740" width_o="1734" height_o="1740" data-src="https://freight.cargo.site/t/original/i/af9faef5a2c739e99e80d3d3ee132b07512f121400e03180f37fdf7cb5b6d6f9/Screen-Shot-2018-05-10-at-10.10.40-PM.png" data-mid="16190356" border="0"  src="https://freight.cargo.site/w/1000/i/af9faef5a2c739e99e80d3d3ee132b07512f121400e03180f37fdf7cb5b6d6f9/Screen-Shot-2018-05-10-at-10.10.40-PM.png" /&#62;&#60;img width="1738" height="1738" width_o="1738" height_o="1738" data-src="https://freight.cargo.site/t/original/i/35e3e9e2f50e2b8831261fcad381ea61ed78f4a195b8e2f57cfe54d794d600f3/Screen-Shot-2018-05-10-at-10.08.23-PM.png" data-mid="16190290" border="0"  src="https://freight.cargo.site/w/1000/i/35e3e9e2f50e2b8831261fcad381ea61ed78f4a195b8e2f57cfe54d794d600f3/Screen-Shot-2018-05-10-at-10.08.23-PM.png" /&#62;






	

The Banks Of The Seine At Port Villez &#38;nbsp;


&#60;img width="900" height="731" width_o="900" height_o="731" data-src="https://freight.cargo.site/t/original/i/6e753c11396fb6583ff778f9c6484e9c9ad73874317de94e06dd64a9e3cefcbc/13.jpg" data-mid="16190027" border="0" data-scale="40" src="https://freight.cargo.site/w/900/i/6e753c11396fb6583ff778f9c6484e9c9ad73874317de94e06dd64a9e3cefcbc/13.jpg" /&#62;


	
	










--------------------------------------------------------------------------------------------------------------------------</description>
		
	</item>
		
		
	<item>
		<title>Face Drawing</title>
				
		<link>https://xuhanart.com/Face-Drawing</link>

		<pubDate>Tue, 05 Dec 2017 15:19:43 +0000</pubDate>

		<dc:creator>Xu Han </dc:creator>

		<guid isPermaLink="true">https://xuhanart.com/Face-Drawing</guid>

		<description>
	FACE DRAWING
脸书2.0
Dec/2017












A research studies of thousands of people who have lost the use of their hands and have had to learn to write with the pen in their mouths or between their toes show that they eventually produce their own unique “handwriting,” the same handwriting they had when they could use their hands. The point is it’s not the hand or mouth or toes that decide which way we will slant our writing or how big we will write. Those decisions actually come from our brains. So when we produce any graphic movement such as handwriting, we are actually “brain-writing” and leaving our “brain prints” behind on the paper.

					
				
			
		
	
In terms of the research from handwriting and self-portrait, I want to do a project which could show the
distinguish of face-drawings by different people and how these distinguishes could build by a content
together to show the identity of the whole human-beings. This drawing from each person could partly be
seen as self-portraits which have their facial features, facial expressions, movements and the paths which
are their identities through their drawings. Also through the process of each individuals drawing, I want to
build a connection between present and future by the way of gazing.



	

	
		
		
	
	
		
			
				
					
						
一项研究测试了上千个人多年没有用双手
写字而用他们的脚趾或嘴写字最终都发展
出了自己特殊的笔迹字体，并且这种笔迹
和他们用手写的几乎相同。所以笔迹其实
不取决于人是用哪个部位来书写，而是来
源于他们的思维。所以笔迹实际上是人们把他们的由脑支配的笔迹留在了纸上。

						
基于对人的笔迹和对艺术家自画像的研究，我的作品是想为人们创造了一种特殊的形象符号，这种形象符号是由他们的五官特点，表情，面部移动轨迹，以及他们
的思维笔迹组成的。

						
这个作品是一个互动式的网页，互动者用脸
写一个形容自己的词，之后可以下载，或上传回网页。网页会展示来自不同国家不同肤
色不同性格的人的不同的“脸书”。

					
				
			
		
	






	

	
		
		
	
	
		
			
				
					
						
	
	






&#60;img width="289" height="187" width_o="289" height_o="187" data-src="https://freight.cargo.site/t/original/i/94a140c41cdd8f8665d49b3eb1cf813aeea138213ae8c8a2b4b9eb28d0f2b37c/ezgif-5-937a0cb75f.gif" data-mid="9385011" border="0" data-scale="94" src="https://freight.cargo.site/w/289/i/94a140c41cdd8f8665d49b3eb1cf813aeea138213ae8c8a2b4b9eb28d0f2b37c/ezgif-5-937a0cb75f.gif" /&#62;

	&#60;img width="600" height="338" width_o="600" height_o="338" data-src="https://freight.cargo.site/t/original/i/21de8914d47a323a1fb1c107d07e67001d2c4d85e6dc5cd6ea6585e891c7a746/ezgif-5-ea20ee3671.gif" data-mid="9384669" border="0" data-scale="81" src="https://freight.cargo.site/w/600/i/21de8914d47a323a1fb1c107d07e67001d2c4d85e6dc5cd6ea6585e891c7a746/ezgif-5-ea20ee3671.gif" /&#62;&#60;img width="442" height="281" width_o="442" height_o="281" data-src="https://freight.cargo.site/t/original/i/b2fef3a3bbb3a1036ac1e3bfe9d1a5656b53561efac76a6d7b49475f464200e5/ezgif-5-181cf0e84c.gif" data-mid="9385110" border="0"  src="https://freight.cargo.site/w/442/i/b2fef3a3bbb3a1036ac1e3bfe9d1a5656b53561efac76a6d7b49475f464200e5/ezgif-5-181cf0e84c.gif" /&#62;

	&#60;img width="369" height="273" width_o="369" height_o="273" data-src="https://freight.cargo.site/t/original/i/c4f3f63441f6f53e21ee19a261e8dfc132038469c50725247fec6cedc73b2914/ezgif-5-4bc3f7eb23.gif" data-mid="9385115" border="0"  src="https://freight.cargo.site/w/369/i/c4f3f63441f6f53e21ee19a261e8dfc132038469c50725247fec6cedc73b2914/ezgif-5-4bc3f7eb23.gif" /&#62;
&#60;img width="243" height="255" width_o="243" height_o="255" data-src="https://freight.cargo.site/t/original/i/46f391a90f70aa881dddd981a2979a179ac96feb36a3c3a00b7ae38089feaa66/ezgif-5-f3d70546d8.gif" data-mid="9385624" border="0" data-scale="95" src="https://freight.cargo.site/w/243/i/46f391a90f70aa881dddd981a2979a179ac96feb36a3c3a00b7ae38089feaa66/ezgif-5-f3d70546d8.gif" /&#62;&#38;nbsp; &#38;nbsp; &#38;nbsp; &#38;nbsp; &#38;nbsp; &#38;nbsp; &#38;nbsp;&#60;img width="245" height="240" width_o="245" height_o="240" data-src="https://freight.cargo.site/t/original/i/df2939b7000808cb435202487c670dd15bcc7b72ab26968c0017eb726401b366/ezgif-5-3063827fb4.gif" data-mid="9384611" border="0"  src="https://freight.cargo.site/w/245/i/df2939b7000808cb435202487c670dd15bcc7b72ab26968c0017eb726401b366/ezgif-5-3063827fb4.gif" /&#62;&#38;nbsp; &#38;nbsp; &#38;nbsp;&#38;nbsp;&#60;img width="4500" height="2550" width_o="4500" height_o="2550" data-src="https://freight.cargo.site/t/original/i/d81400d1d41e36707917edc26f8af54b46821ceba26cbd5853db5a4a717b503a/FINAL1.jpg" data-mid="7636790" border="0"  src="https://freight.cargo.site/w/1000/i/d81400d1d41e36707917edc26f8af54b46821ceba26cbd5853db5a4a717b503a/FINAL1.jpg" /&#62;&#60;img width="4500" height="2550" width_o="4500" height_o="2550" data-src="https://freight.cargo.site/t/original/i/32e1345402a79b61ec2311883e64fb412894f7135fbe7c26a315277882e6b3e4/FINAL1.jpg" data-mid="7684349" border="0"  src="https://freight.cargo.site/w/1000/i/32e1345402a79b61ec2311883e64fb412894f7135fbe7c26a315277882e6b3e4/FINAL1.jpg" /&#62;



One word to describe yourself !
&#60;img width="1994" height="1278" width_o="1994" height_o="1278" data-src="https://freight.cargo.site/t/original/i/37a3489f51c74613f27898d1aeb2b464f353be4026ff97e91455d428dcd4000a/Screen-Shot-2017-12-11-at-4.18.18-PM.png" data-mid="9385663" border="0"  src="https://freight.cargo.site/w/1000/i/37a3489f51c74613f27898d1aeb2b464f353be4026ff97e91455d428dcd4000a/Screen-Shot-2017-12-11-at-4.18.18-PM.png" /&#62;
	&#60;img width="1832" height="1184" width_o="1832" height_o="1184" data-src="https://freight.cargo.site/t/original/i/5e1da307cc6aaf1be1c174713f9f3f1a79a6f44ca3b3e56d88355f72b3568ade/Screen-Shot-2017-12-11-at-4.46.26-PM.png" data-mid="9385669" border="0"  src="https://freight.cargo.site/w/1000/i/5e1da307cc6aaf1be1c174713f9f3f1a79a6f44ca3b3e56d88355f72b3568ade/Screen-Shot-2017-12-11-at-4.46.26-PM.png" /&#62;
	&#60;img width="2312" height="1400" width_o="2312" height_o="1400" data-src="https://freight.cargo.site/t/original/i/3919d920f25853e81e9179f1bdae2d957c329562d97e4d89389aa8ddfd8c9a24/Screen-Shot-2017-12-11-at-4.47.55-PM.png" data-mid="9385670" border="0"  src="https://freight.cargo.site/w/1000/i/3919d920f25853e81e9179f1bdae2d957c329562d97e4d89389aa8ddfd8c9a24/Screen-Shot-2017-12-11-at-4.47.55-PM.png" /&#62;

&#60;img width="2308" height="1436" width_o="2308" height_o="1436" data-src="https://freight.cargo.site/t/original/i/ed2a0e563b9d2c720f399934ded62c6e29308d49901aaa7c78d7fcdc1fbbebfe/Screen-Shot-2017-12-11-at-4.48.06-PM.png" data-mid="9385671" border="0"  src="https://freight.cargo.site/w/1000/i/ed2a0e563b9d2c720f399934ded62c6e29308d49901aaa7c78d7fcdc1fbbebfe/Screen-Shot-2017-12-11-at-4.48.06-PM.png" /&#62;
	&#60;img width="2132" height="1362" width_o="2132" height_o="1362" data-src="https://freight.cargo.site/t/original/i/43ad5da7e78b0f7733d7c9a6bd07493966cb035e84f8e19b96c00c8375fc0a49/Screen-Shot-2017-12-11-at-5.10.30-PM.png" data-mid="9385672" border="0"  src="https://freight.cargo.site/w/1000/i/43ad5da7e78b0f7733d7c9a6bd07493966cb035e84f8e19b96c00c8375fc0a49/Screen-Shot-2017-12-11-at-5.10.30-PM.png" /&#62;
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	&#60;img width="2008" height="1296" width_o="2008" height_o="1296" data-src="https://freight.cargo.site/t/original/i/e376f3825dc016afead4336a693b8eef49ace2d1877da8cf48aaa9107ff3af47/Screen-Shot-2017-12-11-at-5.46.07-PM.png" data-mid="9385673" border="0"  src="https://freight.cargo.site/w/1000/i/e376f3825dc016afead4336a693b8eef49ace2d1877da8cf48aaa9107ff3af47/Screen-Shot-2017-12-11-at-5.46.07-PM.png" /&#62;
</description>
		
	</item>
		
		
	<item>
		<title>Blink</title>
				
		<link>https://xuhanart.com/Blink</link>

		<pubDate>Sun, 11 Nov 2018 07:00:44 +0000</pubDate>

		<dc:creator>Xu Han </dc:creator>

		<guid isPermaLink="true">https://xuhanart.com/Blink</guid>

		<description>
	Blink
Oct/2018











&#60;img width="2880" height="1608" width_o="2880" height_o="1608" data-src="https://freight.cargo.site/t/original/i/76fcbc07200ab10ed97cb0edf971bbb62354486c3e0cf6f30583e792a3c399f5/Screen-Shot-2018-11-12-at-7.25.34-PM.png" data-mid="28347699" border="0" data-scale="66" src="https://freight.cargo.site/w/1000/i/76fcbc07200ab10ed97cb0edf971bbb62354486c3e0cf6f30583e792a3c399f5/Screen-Shot-2018-11-12-at-7.25.34-PM.png" /&#62;



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