Abstract
A key challenge in skeleton-based hand gesture recognition is the fact that a gesture can often be performed in several different ways, with each consisting of its own configuration of poses and their spatio-temporal dependencies. This leads us to define a spatio-temporal network model that explicitly characterizes these internal configurations of poses and their local spatio-temporal dependencies. The model introduces a latent vector variable...
Paper Details
Title
Recognizing Skeleton-Based Hand Gestures by a Spatio-Temporal Network
Published Date
Sep 13, 2021
Pages
151 - 167
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Notes
History