关键词: 面部视频, G通道, 眼电图, 眨眼信号, 人-机交互控制

Abstract: Focusing on the shortcoming of blink detection based on Electrooculography（EOG）?technique, the article designs a novel Human-Computer Interaction（HCI） model based on continuous eye-blink, which mainly combines IPPG and the signal processing method to realize eye-blinking pulse signal extraction from facial video sequences. Further, the parameters for time/space analysis window and filter are selected and adjusted, for eye-blink pulses detection and related control command generation. On the basis of this, a set of blinking control multimedia player system is established to verify the effectiveness of the proposed algorithm and HCI model. The experimental results show that the stability of this method is better than that of the traditional EOG method in the jamming environment. In the system testing, the accuracy of blink control command is 92.95%, which shows a good performance for practical human-computer interaction.

Key words: facial video, G channel, Electrooculography（EOG）, eye blink signal, human-computer interaction control