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Single inertial sensor for local muscular endurance (LME) exercise detection
Prabhu, Ghanashyama
An activity recognition framework based on machine learning to automatically recognize LME exercises and to count the repetitions using a wrist-worn inertial sensor is proposed. Fourteen binary classifiers are trained using optimized SVM models [1, 3] to recognize individual LME exercises, achieving overall accuracy of more than 98%.
Keyword(s): Machine learning; Electronic engineering
Publication Date:
2017
Type: Other
Peer-Reviewed: Unknown
Language(s): English
Institution: Dublin City University
Publisher(s): The Insight Centre for Data Analytics
File Format(s): application/pdf
Related Link(s): http://doras.dcu.ie/22509/,
http://studentconference2017.insight-centre.org/book.pdf
First Indexed: 2018-08-04 06:25:00 Last Updated: 2018-08-04 06:25:00