Paper
23 January 2017 The anti-fatigue driving system design based on the eye blink detect
Shuyu Yang, Xin Song, Li Zhang, Jie Yu
Author Affiliations +
Proceedings Volume 10322, Seventh International Conference on Electronics and Information Engineering; 103221R (2017) https://doi.org/10.1117/12.2266074
Event: Seventh International Conference on Electronics and Information Engineering, 2016, Nanjing, China
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.
© (2017) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Shuyu Yang, Xin Song, Li Zhang, and Jie Yu "The anti-fatigue driving system design based on the eye blink detect", Proc. SPIE 10322, Seventh International Conference on Electronics and Information Engineering, 103221R (23 January 2017); https://doi.org/10.1117/12.2266074
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Cited by 2 scholarly publications.
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KEYWORDS
Brain

Eye

Wave sensors

Signal detection

Communication engineering

Data acquisition

Ear

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