Gait recognition using spatio-temporal representation fusion learning network with IMU-based skeleton graph and body partition strategy.
The precise recognition of human lower limb movements based on wearable sensors is very important for human-computer interaction. However, the existing methods tend to ignore the dynamic spatial information in the process of executing human lower limb movements, leading to challenges such as reduced...
| Published in: | PLoS ONE |
|---|---|
| Main Authors: | Fo Hu, Qinxu Zheng, Xuanjie Ye, Zukang Qiao, Junlong Xiong, Hongsheng Chang |
| Format: | Article |
| Language: | English |
| Published: |
Public Library of Science (PLoS)
2025-01-01
|
| Online Access: | https://doi.org/10.1371/journal.pone.0332947 |
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