2024
DOI: 10.1016/j.heliyon.2024.e26763
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Motion intention recognition of the affected hand based on the sEMG and improved DenseNet network

Qunfeng Niu,
Lei Shi,
Yang Niu
et al.
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Cited by 2 publications
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“…At the same time, we used the Moving Average Method (MAF) to reduce the impact of short-term random fluctuations on the overall trend of the sEMG signal. Finally, we calculated the mean and variance of the signal after applying the MAF to obtain sEMG signals with distinct features, laying the foundation for subsequent gesture recognition [27].…”
Section: Semg Signal Processingmentioning
confidence: 99%
“…At the same time, we used the Moving Average Method (MAF) to reduce the impact of short-term random fluctuations on the overall trend of the sEMG signal. Finally, we calculated the mean and variance of the signal after applying the MAF to obtain sEMG signals with distinct features, laying the foundation for subsequent gesture recognition [27].…”
Section: Semg Signal Processingmentioning
confidence: 99%