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A Unified Local–Global Feature Extraction Network for Human Gait Recognition Using Smartphone Sensors
Smartphone-based gait recognition has been considered a unique and promising technique for biometric-based identification. It is integrated with multiple sensors to collect inertial data while a person walks. However, captured data may be affected by several covariate factors due to variations of ga...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9182843/ https://www.ncbi.nlm.nih.gov/pubmed/35684589 http://dx.doi.org/10.3390/s22113968 |