Abstract
StarLight is an infrastructure-based sensing system that reuses light emitted from ceiling LED panels to reconstruct fine-grained user skeleton postures continuously in real time. It leverages only a few (e.g., 20) photodiodes at optimized locations on the floor to capture low-level visual cues (light blockage information), with neither invasive cameras nor on-body sensors. It aggregates the blockage information of different light rays and identifies the best-fit 3D skeleton postures. Experiments show that StarLight achieves 13.6° mean angular error for five body joints and reconstructs a mobile skeleton at a high frame rate (40 FPS). StarLight presents a new unobtrusive sensing paradigm to augment today's mobile sensing for continuous and accurate behavioral monitoring.
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