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...

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Detalles Bibliográficos
Autores principales: Huang, Haohua, Zhou, Pan, Li, Ye, Sun, Fangmin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Communication
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

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8072684/
https://www.ncbi.nlm.nih.gov/pubmed/33921769
http://dx.doi.org/10.3390/s21082866

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