Proceedings Paper
The anti-fatigue driving system design based on the eye blink detect| Format | Member Price | Non-Member Price |
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Paper Abstract
Traffic accident is one of the severe social problems in the world, but the appraisal and prevention of the fatigue driving is still a difficult problem that can not be solved. This paper is to study the results of fatigue driving and the existing antifatigue driving products, collecting brain wave with the TGAM (ThinkGear AM) Brain Wave Sensor Chip. We analyze the collected waveform based on eye blink detect algorithm to work out current situation of the driver. According to the analysis results, Sound Module and controllable speed car will make a series of feedback. Finally, an effective Anti- Fatigue Driving System is designed based on all above.
Paper Details
Date Published: 23 January 2017
PDF: 5 pages
Proc. SPIE 10322, Seventh International Conference on Electronics and Information Engineering, 103221R (23 January 2017); doi: 10.1117/12.2266074
Published in SPIE Proceedings Vol. 10322:
Seventh International Conference on Electronics and Information Engineering
Xiyuan Chen, Editor(s)
PDF: 5 pages
Proc. SPIE 10322, Seventh International Conference on Electronics and Information Engineering, 103221R (23 January 2017); doi: 10.1117/12.2266074
Show Author Affiliations
Shuyu Yang, Northeastern Univ. at Qinhuangdao (China)
Xin Song, Northeastern Univ. at Qinhuangdao (China)
Xin Song, Northeastern Univ. at Qinhuangdao (China)
Li Zhang, Northeastern Univ. at Qinhuangdao (China)
Jie Yu, Northeastern Univ. at Qinhuangdao (China)
Jie Yu, Northeastern Univ. at Qinhuangdao (China)
Published in SPIE Proceedings Vol. 10322:
Seventh International Conference on Electronics and Information Engineering
Xiyuan Chen, Editor(s)
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