Gait Recognition Based on Modified OVR-CSP Fusion Feature and LSTM-Reference-Cited by-同舟云学术

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Gait Recognition Based on Modified OVR-CSP Fusion Feature and LSTM

Published:2024-03-01 Issue: Volume: Page:1551-1554
ISSN:
Container-title:2024 7th International Conference on Advanced Algorithms and Control Engineering (ICAACE)
language:
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Author:

Dong Xiaoyu¹,Gao Cuiyun²,Lu Zhonghai³,Zhang Wanli¹,Zhao Yang¹,Jiang Xinyu¹

Affiliation:

1. Anhui Jianzhu University,Power Quality Analysis and Load Detection Technology Laboratory,Hefei,China

2. Anhui Jianzhu University,Hefei,China

3. Power Quality School of Electrical Engineering and Computer Science, KTH Royal Institute of Technology,Stockholm,Sweden

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10548022/10548040/10548462.pdf?arnumber=10548462

Reference15 articles.

1. GA-PDR: Using Gait Analysis for Heading Estimation in PDR Based Indoor Localization System

2. Gait Phase Estimation of Unsupervised Outdoors Walking Using IMUs and a Linear Regression Model

3. Development of Neuro-Degenerative Diseases’ Gait Classification Algorithm Using Convolutional Neural Network and Wavelet Coherence Spectrogram of Gait Synchronization

4. Multi-Spectral-Attention Dual-Channel Network for Radar-Based Human Gait Recognition

5. Spectral feature extraction from EEG based motor imagery using common spatial patterns

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