Title | ||
---|---|---|
iFitness: A Deep Learning-Based Physical Fitness Motion Detection System for Elderly People |
Abstract | ||
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This paper proposes a deep learning-based physical fitness motion system, named iFitness, which consists of a camera, an AI edge module, and a fitness management platform. iFitness uses a camera to capture images of the elderly when they perform physical fitness exercises. Experimental results demonstrate that iFitness can effectively recognize the fitness exercise status for elderly. |
Year | DOI | Venue |
---|---|---|
2021 | 10.1109/GCCE53005.2021.9621944 | 2021 IEEE 10th Global Conference on Consumer Electronics (GCCE) |
Keywords | DocType | ISBN |
Image edge detection,Conferences,Senior citizens,Cameras,Motion detection,Artificial intelligence,Consumer electronics | Conference | 978-1-6654-3676-2 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
7 |
Name | Order | Citations | PageRank |
---|---|---|---|
Wan-Jung Chang | 1 | 0 | 1.69 |
Jian-Ping Su | 2 | 1 | 4.20 |
Chia-Hao Chen | 3 | 0 | 0.34 |
Shu-Ching Liu | 4 | 0 | 0.34 |
Chih-Ching Chang | 5 | 0 | 0.34 |
Mei-Ling Tsai | 6 | 0 | 0.34 |
Liang-Bi Chen | 7 | 0 | 2.03 |