Gait recognition based on EMG with different individuals and sample sizes
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Publisher
IEEE
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http://xplorestaging.ieee.org/ielx7/7547213/7553055/07553988.pdf?arnumber=7553988
Cited by 24 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Phasor-Based Myoelectric Synergy Features: A Fast Hand-Crafted Feature Extraction Scheme for Boosting Performance in Gait Phase Recognition;Sensors;2024-09-08
2. iP3T: an interpretable multimodal time-series model for enhanced gait phase prediction in wearable exoskeletons;Frontiers in Neuroscience;2024-09-04
3. TranSEMG: A Trans-Scale Hybrid Model for High-Accurate Hip Joint Moment Prediction;IEEE Transactions on Instrumentation and Measurement;2024
4. Evaluating Bilateral Surface EMG Features for Automatic Identification of Gait Phase Transitions in Ground Walking Conditions;IFMBE Proceedings;2024
5. Gait Phase Classification from sEMG in Multiple Locomotion Mode Using Deep Learning;Lecture Notes in Networks and Systems;2024
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