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Individual Identification by Late Information Fusion of EmgCNN and EmgLSTM from Electromyogram Signals
This paper is concerned with individual identification by late fusion of two-stream deep networks from Electromyogram (EMG) signals. EMG signal has more advantages on security compared to other biosignals exposed visually, such as the face, iris, and fingerprints, when used for biometrics, at least...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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MDPI
2022
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9504259/ https://www.ncbi.nlm.nih.gov/pubmed/36146119 http://dx.doi.org/10.3390/s22186770 |