Blink detection for real-time eye tracking
Journal of Network and Computer Applications
An eye-gaze input system using information on eye movement history
UAHCI'07 Proceedings of the 4th international conference on Universal access in human-computer interaction: ambient interaction
Face detection using quantized skin color regions merging andwavelet packet analysis
IEEE Transactions on Multimedia
Automatic classification of eye blink types using a frame-splitting method
EPCE'13 Proceedings of the 10th international conference on Engineering Psychology and Cognitive Ergonomics: understanding human cognition - Volume Part I
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We propose a new eye blink detection method that uses NTSC video cameras. This method utilizes split-interlaced images of the eye. These split images are odd- and even-field images in the NTSC format and are generated from NTSC frames (interlaced images). The proposed method yields a time resolution that is double that in the NTSC format; that is, the detailed temporal change that occurs during the process of eye blinking can be measured. To verify the accuracy of the proposed method, experiments are performed using a high-speed digital video camera. Furthermore, results obtained using the NTSC camera were compared with those obtained using the high-speed digital video camera. We also report experimental results for comparing measurements made by the NTSC camera and the high-speed digital video camera.