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

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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Bibliographic Details
Main Authors: Kun Liu, Yong Liu, Shuo Ji, Chi Gao, Shizhong Zhang, Jun Fu
Format: Article
Language:English
Published: MDPI AG 2023-06-01
Series:Sensors
Subjects:
gait phase recognition
wearable inertial sensors
LSTM-CNN
data pre-filtering
Online Access:https://www.mdpi.com/1424-8220/23/13/5905

Internet

https://www.mdpi.com/1424-8220/23/13/5905

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