⚡ 本页包含 AI 生成的分析内容，仅供参考
本文提出一种基于超声波的3D手势识别方案，解决了光学3D手势识别体积大、功耗高、受环境光影响的问题。通过使用微型超声波传感器阵列和低功耗电路，实现了适用于移动设备的小型化、低功耗手势识别系统。
David A. Horsley2, Bernhard E. Boser1 University of California, Berkeley, CA, 2University of California, Davis, CA 1 Optical 3D imagers for gesture recognition suffer from large size and high power consumption. Their performance depends on ambient illumination and they generally cannot operate in sunlight. These factors have prevented widespread adoption of gesture interfaces in energy- and volume-limited environments such as tablets and smartphones. Wearable mobile devices, too small to incorporate a touchscreen more than a few fingers wide, would benefit from a small, low-power gestural interface. Gesture recognition using sound is an attractive alternative to overcome these difficulties due to the potential for chip-scale size, low power consumption, and ambient light insensitivity. Using pulse-echo time-of-flight, MEMS ultrasonic rangers work over distances of up to a meter and achieve sub-mm ranging accuracy [1,2]. Using a 2-dimensional array of
Richard J. Przybyla1, Hao-Yen Tang1, Stefon E. Shelton2,