A Deep Learning Human Activity Recognition Framework for Socially Assistive Robots to Support Reablement of Older Adults
Author:
Affiliation:
1. University of Toronto,Autonomous Systems and Biomechatronics Laboratory,Toronto,ON,CAN,M5S3G8
Funder
NSERC
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10160211/10160212/10161404.pdf?arnumber=10161404
Reference47 articles.
1. Identifying the Potential for Robotics to Assist Older Adults in Different Living Environments
2. YOLO9000: Better, Faster, Stronger;redmon;ArXiv,2016
3. Learning and Personalizing Socially Assistive Robot Behaviors to Aid with Activities of Daily Living
4. CSPNet: A New Backbone that can Enhance Learning Capability of CNN;wang;ArXiv,2019
5. VPN++: Rethinking Video-Pose embeddings for understanding Activities of Daily Living
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