Article

Human motion data expansion from arbitrary sparse sensors with shallow recurrent decoders

2024-06-03

Abstract excerpt

Advances in deep learning and sparse sensing have emerged as powerful tools for monitoring human motion in natural environments. We develop a deep learning architecture, constructed from a shallow recurrent decoder network, that expands human motion data by mapping a limited (sparse) number of sensors to a comprehensive (dense) configuration, thereby inferring the motion of unmonitored body segments. Even with a s...

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Literature Corpus work: f8938246-0a10-5d7f-b4a0-00373baea498
DOI: 10.1101/2024.06.01.596487

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