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老片子

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分享一组光影主题拍摄

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时尚芭莎

杭州卓米商业|时尚|服装摄影师 创作 时尚拍摄 

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%25E5%258E%259F%25E5%25A7%258B%25E6%2597%25B6%25E6%259C%259F

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Archetypal - Anima&Animus

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简单修修

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未来2300

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CHAU.RISING

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失幻Illusion |创作

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Procreate摸鱼

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近期一些小练习

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酸性作品集封面

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波动之上-关于脑电波反馈的软媒介可穿戴

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幻梦|创作

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概念光绘

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人像拍摄

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富士一亿像素120相机样片拍摄

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Cyberpunker

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一封粉红的信

站酷推荐设计师

The second input of this project controlled the visual component. I used leap motion, to create 5 different hand gestures. Leap Motion will generate 15 coordinates, 3 points for all 5 fingers. The coordinate data was sent to Wekinator and trained using machine learning. Sequentially, Wekinator sends a message to Processing to control 5 different light settings of the neo-pixel light strips, controlled through Adruino.<br><br>If you open Osculator to see the message, you can find 15 outputs transferred from Processing. You also get a message in the process which is significant to know the difference between classification, regression and time warping. In here, Here I used time warping, that&#39;s why we can record the gestures. The problem is I get the message from Wekinator by oscEvent, I tried a lot to see which kind of data type can be received by Processing, and then I used it as a button to transfer the message again to Arduino.