The DOI matches its Crossref record; 63 of the 63 references it cites were found in a registry or an index.
Surface EMG-Based Inter-Session Gesture Recognition Enhanced by Deep Domain Adaptation
Open accessAbstract
High-density surface electromyography (HD-sEMG) is to record muscles’ electrical activity from a restricted area of the skin by using two dimensional arrays of closely spaced electrodes. This technique allows the analysis and modelling of sEMG signals in both the temporal and spatial domains, leading to new possibilities for studying next-generation muscle-computer interfaces (MCIs). sEMG-based gesture recognition has usually been investigated in an intra-session scenario, and the absence of a standard benchmark database limits the use of HD-sEMG in real-world MCI. To address these problems, we present a benchmark database of HD-sEMG recordings of hand gestures performed by 23 participants, based on an 8 × 16 electrode array, and propose a deep-learning-based domain adaptation framework to enhance sEMG-based inter-session gesture recognition. Experiments on NinaPro, CSL-HDEMG and our CapgMyo dataset validate that our approach outperforms state-of-the-arts methods on intra-session and effectively improved inter-session gesture recognition.
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Cited by
EMG Pattern Recognition in the Era of Big Data and Deep Learning
Phinyomark, A., & Scheme, E. (2018) · Big Data and Cognitive Computing · doi:10.3390/bdcc2030021 · Cited by 272
Domain Adaptation for sEMG-based Gesture Recognition with Recurrent Neural Networks
Ketyko, I., Kovacs, F., & Varga, K. Z. (2019) · 2019 International Joint Conference on Neural Networks (IJCNN) · doi:10.1109/ijcnn.2019.8852018 · Cited by 94
Ni, S., Al-qaness, M. A. A., Hawbani, A., Al-Alimi, D., Abd Elaziz, M., & Ewees, A. A. (2024) · Applied Soft Computing · doi:10.1016/j.asoc.2024.112235 · Cited by 74
de Andrade, F. H. C., Pereira, F. G., Resende, C. Z., & Cavalieri, D. C. (2019) · IFMBE Proceedings · doi:10.1007/978-981-13-2517-5_42 · Cited by 8
Metadata
- Authors
- Du, Y., Jin, W., Wei, W., Hu, Y., & Geng, W.
- Venue
- Sensors
- Publisher
- MDPI AG
- Published
- 2017-02-24
- Volume
- 17
- Issue
- 3
- Pages
- 458
- ISSN
- 1424-8220 (ISSN-L)
- OpenAlex
- W2589747988
- Cited by
- 363
- References
- 63
- FWCI
- 12.34
- Type
- journal article
- Language
- en
- Open access
- gold
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- Du, Y., Jin, W., Wei, W., Hu, Y., & Geng, W. (2017). Surface EMG-Based Inter-Session Gesture Recognition Enhanced by Deep Domain Adaptation. Sensors. https://doi.org/10.3390/s17030458
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