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A Lightweight Attention-Based CNN Model for Efficient Gait Recognition with Wearable IMU Sensors
Wearable sensors-based gait recognition is an effective method to recognize people’s identity by recognizing the unique way they walk. Recently, the adoption of deep learning networks for gait recognition has achieved significant performance improvement and become a new promising trend. However, mos...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8072684/ https://www.ncbi.nlm.nih.gov/pubmed/33921769 http://dx.doi.org/10.3390/s21082866 |