Lightweight human activity recognition method based on the MobileHARC model
In recent years, Human activity recognition (HAR) based on wearable devices has been widely applied in health applications and other fields. Currently, most HAR models are based on the Convolutional Neural Network (CNN), Long Short-Term Memory (LSTM), or their combination. Recently, there have been...
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Main Authors: | Xingyu Gong, Xinyang Zhang, Na Li |
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Format: | Article |
Language: | English |
Published: |
Taylor & Francis Group
2024-12-01
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Series: | Systems Science & Control Engineering |
Subjects: | |
Online Access: | https://www.tandfonline.com/doi/10.1080/21642583.2024.2328549 |
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