FULL HAND KINEMATICS RECONSTRUCTION USING ELECTRICAL IMPEDANCE TOMOGRAPHY WEARABLE

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 appli...

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Bibliographic Details
Main Authors Basu, Sambuddha, Bae, Sean Kyungmok, Morvan, Stiven Guillaume Francois, Colaco, Andrea, Zhu, Junyi, Shin, Dongeek
Format Patent
LanguageEnglish
Published 20.06.2024
Subjects
CALCULATING
COMPUTING
COUNTING
DIAGNOSIS
ELECTRIC DIGITAL DATA PROCESSING
HUMAN NECESSITIES
HYGIENE
IDENTIFICATION
MEDICAL OR VETERINARY SCIENCE
PHYSICS
SURGERY
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Summary: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.
Bibliography:Application Number: US202318537224