BabyNet: A Lightweight Network for Infant Reaching Action Recognition in Unconstrained Environments to Support Future Pediatric Rehabilitation Applications

Amel Dechemi, Vikarn Bhakri,Ipsita Sahin,Arjun Modi,Julya Mestas, Pamodya Peiris, Dannya Enriquez Barrundia,Elena Kokkoni,Konstantinos Karydis

2021 30th IEEE International Conference on Robot & Human Interactive Communication (RO-MAN)（2021）

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摘要

Action recognition is an important component to improve autonomy of physical rehabilitation devices, such as wearable robotic exoskeletons. Existing human action recognition algorithms focus on adult applications rather than pediatric ones. In this paper, we introduce BabyNet, a light-weight (in terms of trainable parameters) network structure to recognize infant reaching action from off-body stat...

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关键词

Pediatrics,Robot vision systems,Exoskeletons,Solids,Cameras,Robots,Testing

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