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SELF-POWERED GESTURE RECOGNITION WITH AMBIENT LIGHT

机译:具有环境光的自打手势手势识别

摘要

A self-powered module for gesture recognition is presented that utilizes small, low-cost photodiodes for both energy harvesting and gesture sensing. Operating in the photovoltaic mode, photodiodes harvest energy from ambient light. In the meantime, the instantaneously harvested power from individual photodiodes is monitored and exploited as a clue for sensing finger gestures in proximity. Harvested power from all photodiodes is aggregated to drive the whole gesture-recognition module including a micro-controller running the recognition algorithm. A robust, lightweight algorithm is provided to recognize finger gestures in the presence of ambient light fluctuations. Two prototypes are fabricated to facilitate user's interaction with smart glasses and smart watches.
机译:提出了一种用于手势识别的自供电模块,该模块利用小型低成本光电二极管进行能量收集和手势感测。光电二极管以光伏模式运行,从环境光中收集能量。同时,对从各个光电二极管获取的瞬时功率进行监控,并将其用作检测附近手指手势的线索。聚集从所有光电二极管收集的功率,以驱动整个手势识别模块,包括运行识别算法的微控制器。提供了一种健壮的,轻量级的算法,可以在环境光波动的情况下识别手指手势。制造了两个原型,以促进用户与智能眼镜和智能手表的交互。

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