We present CapBand, a battery-free hand gesture recognition wearable in the form of a wristband. Wepropose successive capacitance sensing, an ultra-low power sensing technique, to capture small skin deformations due to muscle and tendon movements on the user’s wrist, which corresponds to specific groups of wrist muscles representing the gestures being performed. We build a wrist muscles-togesture model, based on which we develop a hand gesture classification method using both motion and static features. To eliminate the need for per-use training, we propose a kernel-based on-wrist localization technique to detect CapBand’s position on the user’s wrist. We prototype CapBand with a custom-designed capacitance sensor array on two flexible circuits driven by a custom-built electronic board, a heterogeneous material-made, deformable silicone band, and a custom-built energy harvesting and management module.
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