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

13 citations · 13 across the 1 of their papers we have counts for

collaborators

1 paper

cs.CV2022★ 13 cited

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

Amel Dechemi, Vikarn Bhakri, Ipsita Sahin +6

Action recognition is an important component to improve autonomy of physical rehabilitation devices, such as wearable robotic exoskeletons. Existing human action recognition algori…