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A Model for Detecting Drowsiness Based on the Data Analysis of Drive Recorder

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Abstract

In this study, we analyzed the actual vehicle driving data collected using a drive recorder for the purpose of detecting the drowsiness of the driver. Through the Lane Departure Warning of the drive recorder mounted on the transportation truck, we pay particular attention to the position in the lane of the traveling vehicle from the acquired data, and investigate the relationship with the drowsiness evaluated based on the facial expression of the driver. From the results, we were able to construct and evaluate a method for detecting drowsiness using drive recorder data and show its usefulness.

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Authors and Affiliations

  1. Graduate School of Information Science and Technology, Aichi Prefectural University, 1522-3, Ibaragabasama, Nagakute-shi, Aichi 480-1198, Japan

    Hiroyuki Oishi, Haruki Kawanaka & Koji Oguri

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  1. Hiroyuki Oishi
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  2. Haruki Kawanaka
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  3. Koji Oguri
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Correspondence to Hiroyuki Oishi.

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Hiroyuki Oishi is an employee of Yazaki Energy System Corporation.

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Oishi, H., Kawanaka, H. & Oguri, K. A Model for Detecting Drowsiness Based on the Data Analysis of Drive Recorder. Int. J. ITS Res. 20, 192–203 (2022). https://doi.org/10.1007/s13177-021-00284-z

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  • DOI: https://doi.org/10.1007/s13177-021-00284-z

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