Feature Extraction of Gait Data via PCA and Personal Identification Using Neural Networks-Reference-Cited by-同舟云学术

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Feature Extraction of Gait Data via PCA and Personal Identification Using Neural Networks

Published:2024-03-16 Issue: Volume: Page:258-263
ISSN:
Container-title:2024 9th International Conference on Big Data Analytics (ICBDA)
language:
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Author:

Nishimura Kazuki¹,Ishida Akio²,Murakami Jun³,Yamamoto Naoki³

Affiliation:

1. National Institute of Technology, Kumamoto College,Advanced Course of Electronics and Information Systems Engineering,Kumamoto,Japan

2. National Institute of Technology, Kumamoto College,Faculty of Liberal Arts,Kumamoto,Japan

3. National Institute of Technology, Kumamoto College,Faculty of Electronics and Information Systems Engineering,Kumamoto,Japan

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10607152/10607161/10607330.pdf?arnumber=10607330

Reference13 articles.

1. The history of gait analysis before the advent of modern computers

2. Full body gait analysis with Kinect

3. Deep learning-enabled triboelectric smart socks for IoT-based gait analysis and VR applications

4. Gender differences in three dimensional gait analysis data from 98 healthy Korean adults

5. A comparison of gait characteristics between Korean and Western people for establishing Korean gait reference data

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