Continuous Body and Hand Gesture Recognition for Natural Human-Computer Interaction

We present a new approach to gesture recognition that tracks body and hands simultaneously and recognizes gestures continuously from an unseg-mented and unbounded input stream. Our system estimates 3D coordinates of upper body joints and classifies the appearance of hands into a set of canonical sha...

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Bibliographic Details
Main Authors: Song, Yale, Demirdjian, David, Davis, Randall
Other Authors: Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Format: Article
Language:English
Published: 2021
Online Access:https://hdl.handle.net/1721.1/137458