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【长沙】元宵夜

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BALENCIAGA TRACK3.0 Vol.2

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大漆书签  风雅长存

  华强北博物馆-展陈互动体验设计分享（一期）

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霓虹

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被夏风吻过的窗帘

Y-ZOUNG STUDIO|赛博朋克-2050当人工智能被神化

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上海光点国际新媒体艺术展 - 概念视觉

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二手玫瑰

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VR眼镜产品动画

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2024

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倒影里的色彩

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｛海德娜娜｝糖果屋女主角

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人间百味，皆是风景

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七月八月

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绽影像之《3400光年外》

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【迷形墨影 - 丘灬】

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“影子戏法”视觉设计

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记录近三个月看的艺术展和拍的两所大学——于武汉

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声音戒指

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矛盾岛

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Beats展厅

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随手拍

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站酷十年，我们相聚在象山

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长红人

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绽影像之《珊瑚宫殿》

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.

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