Proceedings of the 2015 4th National Conference on Electrical, Electronics and Computer Engineering

Adoptive Lamps Based on the Pattern Recognition

Authors
Ya Mou
Corresponding Author
Ya Mou
Available Online December 2015.
DOI
10.2991/nceece-15.2016.23How to use a DOI?
Keywords
Pattern Recognition; Cascade Adaboost Algorithm Open CV Human Eye detection
Abstract

Since the pattern recognition technology has been put forward in 1960s, it has attracted many researchers' in-depth exploration and research because of its great development potential. Over the years, the pattern recognition has made great progress in the field of face recognition, fatigue detection, human-computer interaction and so on. The purpose of this paper is to design a system that can automatically detect the human eye state and make the corresponding feedback. The system can reduce the fatigue and protect the eyes. When there is a slight change in the light, the eye will make the corresponding change. When the eye is in a comfortable state, the light is at a suitable value.

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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Volume Title
Proceedings of the 2015 4th National Conference on Electrical, Electronics and Computer Engineering
Series
Advances in Engineering Research
Publication Date
December 2015
ISBN
978-94-6252-150-6
ISSN
2352-5401
DOI
10.2991/nceece-15.2016.23How to use a DOI?
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/).

Cite this article

TY  - CONF
AU  - Ya Mou
PY  - 2015/12
DA  - 2015/12
TI  - Adoptive Lamps Based on the Pattern Recognition
BT  - Proceedings of the 2015 4th National Conference on Electrical, Electronics and Computer Engineering
PB  - Atlantis Press
SP  - 120
EP  - 124
SN  - 2352-5401
UR  - https://doi.org/10.2991/nceece-15.2016.23
DO  - 10.2991/nceece-15.2016.23
ID  - Mou2015/12
ER  -