Title :
A smart eye care algorithm for handheld devices
Author :
An-Chao Tsai;Ming-Hsuan Lu;Po-Huai Su;Ta-Wen Kuan;Jhing-Fa Wang
Author_Institution :
Department of Digital Multimedia Design, Tajen University, Pingtung, Taiwan
Abstract :
The handheld devices are now dominant in our daily life, people can live without computer or TV but they cannot stand without smart phone as well as tablet. By observing this phenomenon this paper presented a study for eye fatigue detection. The proposed eye fatigue measurement system is capable to identify the eye state of the user with frequently blinking or dark circles, respectively. Frequently blinking represents user´s eye has been used for some time and rest would be required to release its fatigue. Dark circles always shows people are with less sleep or maybe illness, in order to keep health the proposed system can remind user to get more rest for recovery. The proposed system is with low computational complexity, the recognition results can be achieved in real time. Experimental results have shown that the proposed design can correctly detect and classify the eye fatigue from user.
Keywords :
"Fatigue","Face","Smart phones","Real-time systems","Feature extraction","Computational complexity","Handheld computers"
Conference_Titel :
Orange Technologies (ICOT), 2015 International Conference on
DOI :
10.1109/ICOT.2015.7498489