虚拟中诞生·现实里走来 — 大悲宇宙未来仏3.0

站酷推荐艺术作者

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Robot W

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站酷推荐设计师

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孙悟空

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时尚摄影 ｜ 乌合之众

我为我的小7pro做了一个宣传视频儿【The one】

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自学产品动态，Arnold渲染动态作品，2025继续努力!!!

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然而所有的这些片段 所有的瞬间 都将湮没于时间的洪流

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口红创意产品动画，这个创意打几分？

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站酷推荐摄影师

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昆曲【浮生六记】

Wildfire - 以澳洲山火为灵感的交互艺术装置

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VR光环头戴产品动画

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《WHO AM I》

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Transformation of people

站酷2022年度创作者

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ONEPlus 5 | 5T

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摄影练习

站酷推荐插画师 

高高手老师

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变形金刚-blender渲染

寸匠熊猫NANA：CONTROL威士忌酒吧

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八月作品合集

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people on fingertips

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长曝光_红外线

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.