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A pose-mapping technique could remotely evaluate patients with cerebral palsy
A machine-learning system remotely analyzes videos of people with motor or neurological disorders, and assesses their movement in real-time. The technology could reduce the need doctor visits for patients with cerebral palsy and other disorders.
United states
Ozhan shen
Moises alencastre miranda
Hermano krebs
Javier gervas arruga
Peijun zhao
Alberto esquenazi
Ciaran oneill
David whiteman
Takeda development center americas inc
Department of mechanical engineering
Stanford university neuromuscular biomechanics laboratory
Temporal graph convolutional neural network
Body sensor networks
Ciarano neill
Takeda development center americas
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