生理指標を主成分分析することによりドライバの疲労状態を推定する研究

江崎 翔; 大日方 五郎; 徳田 暁; 森 紀人; 牧口 実

doi:10.11511/jacc.54.0.61.0

THE 54TH JAPAN JOINT AUTOMATIC CONTROL CONFERENCE

Session ID : 1E201

DOI https://doi.org/10.11511/jacc.54.0.61.0

Conference information

Host: The Society of Instrument and Control Engineers, The Japan Society of Mechanical Engineers, The Institute of Systems, Control and Information Engineers, The Society of Chemical Engineers, The Japan Society for Precision Engineering, The Japan Society for Aeronautical and Space Sciences

Co-host: Toyohashi University of Technology, Technically Cosponsored by 51 Societies and Institutes

Support and State Estimation System for Vehicle Driver (2)

Estimation of Driver's Fatigue Using Physiological Measures and Principal Component Analysis

*Sho Esaki, Goro Obinata, Satoru Tokuda, Norihito Mori, Minoru Makiguchi

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Keywords: Human engineering, Fatigue, Physiological measurement, Principal Component Analysis

CONFERENCE PROCEEDINGS FREE ACCESS

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Abstract

The purpose of this study is to estimate driver's fatigue. Physiological measures (such as heart rate, pulse transit time, face surface temperature, and median frequency of EMG) were recorded while participants were engaged in a simulated driving task for two hours. Principal Component Analysis (PCA) was conducted by using these time series data of the physiological measures. This study found that the first principal component was significantly related to accumulation of fatigue from the driving task. This indicates that driver's fatigue may be estimated using the physiological measures and PCA.

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