Fine-Grained Motion Recognition in At-Home Fitness Monitoring with Smartwatch: A Comparative Analysis of Explainable Deep Neural Networks
Author:
Affiliation:
1. Department of Physical Education, Graduate School, Dongguk University, Seoul 04620, Republic of Korea
2. Machine Learning Systems Lab., College of Sports Science, Sungkyunkwan University, Suwon 16419, Republic of Korea
Abstract
Funder
Korea government
Publisher
MDPI AG
Subject
Health Information Management,Health Informatics,Health Policy,Leadership and Management
Link
https://www.mdpi.com/2227-9032/11/7/940/pdf
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4. Zhang, Z., Wang, N., and Cui, L. (2018, January 12–14). Fine-Fit: A Fine-grained Gym Exercises Recognition System. Proceedings of the 2018 24th Asia-Pacific Conference on Communications (APCC), Ningbo, China.
5. Analysis of movement quality in full-body physical activities;Niewiadomski;ACM Trans. Interact. Intell. Syst.,2019
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