Browsing by Author "Sun, Wei-Chen"

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Real-time Eye Detection and Event Identification for Human-computer Interactive Control for Driver Assistance
(2014)
Chen, Yen-Lin
;
Yu, Chao-Wei
;
Chiang, Chuan-Yen
;
Liu, Chin-Hsuan
;
Sun, Wei-Chen
Eye movements can provide important information for human-computer interactive applications. Due to the progress of computer technology, the detecting accuracy and speed of pattern recognition are promoted. Additionally, according to research advances in embedded systems, the applications of digital cameras, such as internet cameras, smart phones and smart TV, and smart cars, are widely used in nowadays. Therefore, we propose a set of real-time human-eye detection and tracking systems with human-computer interaction applications. This technique can obtain eye movements and can be adopted as interactive control commands on driver assistance systems. The proposed system is implemented on an OMAP4430 for embedded applications, and experimental results show that the proposed architecture is capable of effective and real-time eye position detection and event identification for human-computer interactive applications on driver assistance systems.
Real-time Eye Tracking and Event Identification Techniques for Smart TV applications
(2014-01-01)
Chen, Yen-Lin
;
Chiang, Chuan-Yen
;
Yu, Chao-Wei
;
Sun, Wei-Chen
;
Yuan, Shyan-Ming
Due to the progress of computer technology, the detecting accuracy and speed of pattern recognition are promoted. Additionally, according to research advances in embedded systems, the applications of digital cameras, such as internet cameras, smart phones and smart TV, are widely used in nowadays. Therefore, we propose a set of real-time human-eye recognition and tracking systems with human-computer interaction mechanism. It can be adopted to help the smart TV users or any device which have camera and computing power to improve their using experience. The proposed system is demonstrated on OMAP4430 for embedded applications, and experimental results show that the proposed architecture is capable of effective and real-time eye position tracking. The proposed system can also detect the status of eye blink. Even for the case of uneven lighting, the proposed system can successfully recognize the human eyes with high accuracy.