A Novel Approach for Gait Recognition Based on CC-LSTM-CNN Method

• Published in: 2021 13th International Conference on Intelligent Human-Machine Systems and Cybernetics (IHMSC) pp. 25 - 28
• Main Authors: Li, Runchao, Song, Chen, Wang, Dongwei, Meng, Fanji, Wang, Yuchen, Tang, Qing
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01.08.2021
• Subjects: Accelerometer; Convolutional Neural Network; Cross-Correlation; Data models; Feature extraction; Gait recognition; LSTM; Solid modeling; Stability analysis; Support vector machines; Three-dimensional displays; Training

Gait recognition is a new biometric technology to identify different users through gait data. In this paper, a novel CC-LSTM-CNN gait recognition method is proposed based on the cross-correlation (CC) algorithm and the Long Short-Term Memory convolutional neural network (LSTM-CNN) hybrid classificat...