期刊名称:International Journal of Advanced Research in Computer Engineering & Technology (IJARCET)
印刷版ISSN:2278-1323
出版年度:2018
卷号:7
期号:3
页码:246-250
出版社:Shri Pannalal Research Institute of Technolgy
摘要:The development in employing the human face actions in the interaction with different types of devices is widely considered in the scientific researching fields. One of the most important parts of face actions is the eyes. This paper proposes a mobile application for human eye tracking using the front camera. The presented application can track the movement of eyes in order to select specific buttons. These buttons can be used for performing different activities. Moreover, eye blinking can be detected and used as an additional action. The motivation of the presented system over previous research works is the using of the front camera without the need for another supporting instrument. This means that the proposed system does not need any calibration with additional sensors, in which the accuracy and efficiency are guaranteed. The obtained results proved that the achieved system accuracy was 66% indoor and 78% outdoor.
关键词:eye tracking; blink detection; HAAR cascade classifier; android application.