Driver Head Posture Monitoring using MEMS Magnetometer and Neural Network for Long-distance Driving Fatigue Analysis

Hobeom Han, Hyeongkyu Jang, Sang Won Yoon

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper presents a portable sensor system to monitor unbalanced head postures of long-distance drivers. The head posture monitoring enables driver fatigue analysis (avoiding potential car accidents) and prevents chronic fatigue and possible neck related diseases. A three-axis MEMS magnetometer and miniature magnet are attached on a user's neck. The user conducts driving scenarios consisting of five common driving actives and one inconvenient posture. Collected magnetometer data are proceeded by neural network algorithms. Part of the data are used to develop a learned model and rest of them are used to calibrate the model. Experiment results are very promising and exhibit superior model accuracy as high as 93.0%.

Original languageEnglish
Title of host publication2019 IEEE Sensors, SENSORS 2019 - Conference Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728116341
DOIs
StatePublished - 2019 Oct
Event18th IEEE Sensors, SENSORS 2019 - Montreal, Canada
Duration: 2019 Oct 272019 Oct 30

Publication series

NameProceedings of IEEE Sensors
Volume2019-October
ISSN (Print)1930-0395
ISSN (Electronic)2168-9229

Conference

Conference18th IEEE Sensors, SENSORS 2019
CountryCanada
CityMontreal
Period19/10/2719/10/30

Keywords

  • driver fatigue analysis
  • Driver head posture monitoring
  • MEMS magnetometer
  • neural network
  • paired magnet

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  • Cite this

    Han, H., Jang, H., & Yoon, S. W. (2019). Driver Head Posture Monitoring using MEMS Magnetometer and Neural Network for Long-distance Driving Fatigue Analysis. In 2019 IEEE Sensors, SENSORS 2019 - Conference Proceedings [8956799] (Proceedings of IEEE Sensors; Vol. 2019-October). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SENSORS43011.2019.8956799