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Gait-Based Identification Using Deep Recurrent Neural Networks and Acceleration Patterns
This manuscript presents an approach to the challenge of biometric identification based on the acceleration patterns generated by a user while walking. The proposed approach uses the data captured by a smartphone’s accelerometer and gyroscope sensors while the users perform the gait activity and opt...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2020
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7729817/ https://www.ncbi.nlm.nih.gov/pubmed/33287142 http://dx.doi.org/10.3390/s20236900 |