The Decision of Fatigue State Based On Characteristics' Fuzzy Fusion

DOI

10.2991/iccia-16.2016.61How to use a DOI?

Keywords

Fuzzy controller; Eye feature parameters; Mouth characteristic parameters.

Abstract

The fatigue recognition process based on visual, using a single feature to fatigue driving, often by the universal applicability, the influence of factors such as noise, leading to the recognition rate is reduced. Characteristic parameters in order to solve the eye or mouth feature parameters of the individual character recognition rate is low and even envoy environment cannot be any other questions, this paper proposes a decision method based on feature fusion, using a variety of characteristics between the complementary advantages, can reduce the effects of difference between noise and class in the class, so as to improve the performance of the system, and can enhance the applicability. Finally, the experimental results show that using the eye and mouth features fusion method is higher accuracy than a single sentence.

Copyright

© 2016, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Guozhen Cao
AU  - Han Peng
PY  - 2016/09
DA  - 2016/09
TI  - The Decision of Fatigue State Based On Characteristics' Fuzzy Fusion
BT  - Proceedings of the 2016 International Conference on Computer Engineering, Information Science & Application Technology (ICCIA 2016)
PB  - Atlantis Press
SP  - 330
EP  - 333
SN  - 2352-538X
UR  - https://doi.org/10.2991/iccia-16.2016.61
DO  - 10.2991/iccia-16.2016.61
ID  - Cao2016/09
ER  -