A Q-Learning based Method for Energy-Efficient Monitoring of Activities of Daily Living using a Wearable Device and a Companion Robot
Author:
Affiliation:
1. School of Electrical and Computer Engineering, Oklahoma State University,Stillwater,OK,USA,74078
Funder
National Science Foundation
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10256259/10256261/10256442.pdf?arnumber=10256442
Reference19 articles.
1. Multi-sensor information fusion based on machine learning for real applications in human activity recognition: State-of-the-art and research challenges
2. Small Robots With Big Tasks
3. Sensor Fusion for Recognition of Activities of Daily Living
4. Multimodal Wearable Sensing for Fine-Grained Activity Recognition in Healthcare
5. What Makes a Robot Social? A Review of Social Robots from Science Fiction to a Home or Hospital Near You
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