公开(公告)号：US20240201792A1

公开(公告)日：2024-06-20

申请号：US18537224

申请日：2023-12-12

Applicant: GOOGLE LLC

Inventor： Stiven Guillaume Francois Morvan ,  Dongeek Shin ,  Andrea Colaco ,  Sambuddha Basu ,  Sean Kyungmok Bae ,  Junyi Zhu

IPC: G06F3/01 ,  A61B5/0536 ,  A61B5/263 ,  G06V10/12 ,  G06V10/764 ,  G06V40/20

CPC classification number: G06F3/017 ,  A61B5/0536 ,  A61B5/263 ,  G06V10/12 ,  G06V10/764 ,  G06V40/28

Abstract: Techniques include determining hand gestures formed by a user based on an electrical impedance tomograph of the wrist. For example, a user may be outfitted with a flexible wristband that fits snugly around the wrist and contains a plurality of electrodes, e.g., 32 electrodes. When a current is applied to a first subset of the electrodes, e.g., two of 32 electrodes, the electric field induced through at least one cross-section of the wrist will in turn induce a voltage across adjacent pairs of a second subset of the electrodes (e.g., the other 30 of 32 electrodes). From this current and induced voltage, one may use techniques of electrical impedance tomography (EIT) to determine the electrical impedance throughout the at least one cross-section of the wrist, e.g., in an electrical impedance tomograph. One may use a neural network to map the electrical impedance tomograph to a hand gesture.