Continuous fine‐grained arm action recognition using motion spectrum mixture models
Author:
Affiliation:
1. Department of Computer ScienceUniversity of HoustonHoustonTX77004USA
2. Computer Science DepartmentUniversity of Houston4800 Calhoun RdHoustonTX77204USA
Publisher
Institution of Engineering and Technology (IET)
Subject
Electrical and Electronic Engineering
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1049/el.2014.2611
Reference10 articles.
1. A survey on vision-based human action recognition
2. Vision-based arm gesture recognition for a long-range human–robot interaction
3. uWave: accelerometer‐based personalized gesture recognition and its applications;Liu J.;Pervasive Mob. Comput.,2009
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3. Examining sensor-based physical activity recognition and monitoring for healthcare using Internet of Things: A systematic review;Journal of Biomedical Informatics;2018-11
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