Study on Clustering Method of Driving Behavior Data Based on Variational Auto Encoder and Coupled-GP-HSMM-Reference-Cited by-同舟云学术

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Study on Clustering Method of Driving Behavior Data Based on Variational Auto Encoder and Coupled-GP-HSMM

Published:2022-07-25 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE 20th International Conference on Industrial Informatics (INDIN)
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Author:

Hashimoto Kohjiro¹,Yanagihara Daichi¹,Kuniyuki Hiroshi²,Doki Kae³,Funabora Yuki⁴,Doki Shinji⁴

Affiliation:

1. Suwa University of Science,Dept. Applied Information Engineering,Chino City,Nagano,Japan

2. Suwa University of Science,Dept. Mechanical and Electrical Engineering,Chino City,Nagano,Japan

3. Aichi Institute of Technology,Dept. Electrical Engineering,Toyota City,Aichi,Japan

4. Nagoya University,Dept. Electrical Engineering and Computer Science,Nagoya,Aichi,Japan

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9975846/9976066/09976135.pdf?arnumber=9976135

Reference8 articles.

1. Assessment Method of Elderly Cognitive Function While Driving

2. Item Development and Validity Testing for a Self- and Proxy Report: The Safe Driving Behavior Measure

3. Interaction Mod-eling Based on Segmenting Two Persons Motions Using Coupled GP-HSMM;oshikawa;Proc IEEE Int Symp Robot Human Interactive Commun,0

4. Characteristics between driving operation and brain activity in curve sections;li;21st World Congress on Intelligent Transport Systems,2014

5. Segmenting Continuous Motions with Hidden Semi-markov Models and Gaussian Processes

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