Continuous hand pose tracking with wrist-worn antenna impedance characteristic sensing

Abstract

Embodiments are disclosed for a continuous hand pose tracking system employing at least one wrist-worn antenna, from which real-time dielectric loading resulting from different hand poses). The sensor data is interpreted by a machine learning backend, which outputs a fully-posed three-dimensional (3D) hand that can be continuously tracked. In some embodiments, two degrees of freedom (2DOF) wrist angle and micro-gestures are tracked. The hand pose tracking system can be extended to include two or more and/or different types of antennas operating at different self-resonances. In an embodiment, a method comprises: determining, with at least one processor of a wrist-worn device, a complex impedance characteristic variation based on a dynamic finite electric ground plane of at least one antenna coupled to the device; and predicting, with the at least one processor, a hand pose of a user wearing the device on a their wrist based on the determined complex impedance characteristic variation.