Publication: Motor-Unit Ordering of Blindly-Separated Surface-EMG Signals for Gesture Recognition
Motor-Unit Ordering of Blindly-Separated Surface-EMG Signals for Gesture Recognition
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Orlandi, M., Zanghieri, M., Schiavone, D., Donati, E., Conti, F., & Benatti, S. (2022). Motor-Unit Ordering of Blindly-Separated Surface-EMG Signals for Gesture Recognition. In M. Valle & et al (Eds.), Advances in System-Integrated Intelligence : Proceedings of the 6th International Conference on System-Integrated Intelligence (SysInt 2022), September 7-9, 2022, Genova, Italy (No. 546; Issue 546, pp. 518–529). Springer. https://doi.org/10.1007/978-3-031-16281-7_49
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Hand gestures are one of the most natural and expressive way for humans to convey information, and thus hand gesture recognition has become a research hotspot in the human-machine interface (HMI) field. In particular, biological signals such as surface electromyography (sEMG) can be used to recognize hand gestures to implement intuitive control systems, but the decoding from the sEMG signal to actual control signals is non-trivial. Blind source separation (BSS)-based methods, such as convolutive independent component analysis (ICA), c
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- Orlandi, Mattia
- Zanghieri, Marcello
- Schiavone, Davide
- Donati, Elisa
- Conti, Francesco
- Benatti, Simone
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Orlandi, M., Zanghieri, M., Schiavone, D., Donati, E., Conti, F., & Benatti, S. (2022). Motor-Unit Ordering of Blindly-Separated Surface-EMG Signals for Gesture Recognition. In M. Valle & et al (Eds.), Advances in System-Integrated Intelligence : Proceedings of the 6th International Conference on System-Integrated Intelligence (SysInt 2022), September 7-9, 2022, Genova, Italy (No. 546; Issue 546, pp. 518–529). Springer. https://doi.org/10.1007/978-3-031-16281-7_49