A Novel Gait Phase Recognition Method Based on DPF-LSTM-CNN Using Wearable Inertial Sensors

Gait phase recognition is of great importance in the development of rehabilitation devices. The advantages of Long Short-Term Memory (LSTM) and Convolutional Neural Network (CNN) are combined (LSTM-CNN) in this paper, then a gait phase recognition method based on LSTM-CNN neural network model is pro...

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Detalles Bibliográficos
Autores principales: Liu, Kun, Liu, Yong, Ji, Shuo, Gao, Chi, Zhang, Shizhong, Fu, Jun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10347001/
https://www.ncbi.nlm.nih.gov/pubmed/37447755
http://dx.doi.org/10.3390/s23135905

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10347001/
https://www.ncbi.nlm.nih.gov/pubmed/37447755
http://dx.doi.org/10.3390/s23135905

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