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A Safe Driving Support Method Using Olfactory Stimuli

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Complex, Intelligent, and Software Intensive Systems (CISIS 2018)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 772))

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Abstract

Recent progress of IoT technology becomes remarkable and driver monitoring systems with in-vehicle devices is one of promising application field. In this paper, we propose a method for constantly monitoring a driver’s line of sight and warning him/her by sound and scent when it detects a dangerous state due to inattentive driving. Sound is an effective method for instantly alerting some state, but it may become a factor for hindering the driver’s concentration. Therefore, we devised a method for gently presenting the warning as a background information by scent. We developed a driving simulator and conducted experiments for verifying the effectiveness of the proposed method.

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Author information

Authors and Affiliations

  1. Division of Computer Science and Intelligent Systems, Faculty of Science and Technology, Oita University, Oita, Japan

    Shinya Okazaki, Toshiyuki Haramaki & Hiroaki Nishino

Authors
  1. Shinya Okazaki
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  2. Toshiyuki Haramaki
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  3. Hiroaki Nishino
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Corresponding author

Correspondence to Hiroaki Nishino .

Editor information

Editors and Affiliations

  1. Department of Information and Communication Engineering, Faculty of Information Engineering, Fukuoka Institute of Technology , Fukuoka, Japan

    Leonard Barolli

  2. Department of Computer Science, COMSATS Institute of Information Technology , Islamabad, Pakistan

    Nadeem Javaid

  3. Department of Information and Communication Engineering, Faculty of Information Engineering, Fukuoka Institute of Technology , Fukuoka, Japan

    Makoto Ikeda

  4. Department of Advanced Sciences, Hosei University , Tokyo, Japan

    Makoto Takizawa

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Okazaki, S., Haramaki, T., Nishino, H. (2019). A Safe Driving Support Method Using Olfactory Stimuli. In: Barolli, L., Javaid, N., Ikeda, M., Takizawa, M. (eds) Complex, Intelligent, and Software Intensive Systems. CISIS 2018. Advances in Intelligent Systems and Computing, vol 772. Springer, Cham. https://doi.org/10.1007/978-3-319-93659-8_89

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