A 2.71 nJ/Pixel Gaze-Activated Object Recognition System for Low-Power Mobile Smart Glasses
Solid-State Circuits, IEEE Journal of（2016）
摘要
A low-power object recognition (OR) system with intuitive gaze user interface (UI) is proposed for battery-powered smart glasses. For low-power gaze UI, we propose a low-power single-chip gaze estimation sensor, called gaze image sensor (GIS). In GIS, a novel column-parallel pupil edge detection circuit (PEDC) with new pupil edge detection algorithm XY pupil detection (XY-PD) is proposed which results in $2.9times $ power reduction with $16times $ larger resolution compared to previous work. Also, a logarithmic SIMD processor is proposed for robust pupil center estimation, $更多
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关键词
Convolutional neural network (CNN),dynamic voltage and frequency scaling (DVFS),eye tracking,focal-plane processing,gaze estimation,logarithmic approximation,object recognition (OR),smart glasses,vision chip
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