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Recognition of the Gait Phase Based on New Deep Learning Algorithm Using Multisensor Information Fusion
2019
Sensors and materials
Gait phase recognition is an effective method of analyzing human motion and behavior that can be very meaningful in people's daily life, especially when struggling with assisted rehabilitation. In this paper, a new algorithm that can recognize a human gait phase more accurately is proposed. The new gait phase recognition algorithm is based on a deep memory convolutional neural network (DM-CNN) using multiple sensor fusion. We used the plantar pressure sensor array and acceleration sensor array
doi:10.18494/sam.2019.2493
fatcat:srt3xhuly5gbfm7xneq6zhesfy