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Driver Head Posture Monitoring using MEMS Magnetometer and Neural Network for Long-distance Driving Fatigue Analysis
- Authors
- Han, Hobeom; Jang, Hyeongkyu; Yoon, Sang Won
- Issue Date
- Oct-2019
- Publisher
- Institute of Electrical and Electronics Engineers Inc.
- Keywords
- driver fatigue analysis; Driver head posture monitoring; MEMS magnetometer; neural network; paired magnet
- Citation
- Proceedings of IEEE Sensors, v.2019-October, pp.1 - 4
- Indexed
- SCOPUS
- Journal Title
- Proceedings of IEEE Sensors
- Volume
- 2019-October
- Start Page
- 1
- End Page
- 4
- ISSN
- 1930-0395
- 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%.
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Related Researcher
- Yoon, Sang Won
- COLLEGE OF ENGINEERING (DEPARTMENT OF AUTOMOTIVE ENGINEERING)