Eye blink as an input modality for a responsive adaptable video system

We propose a unique system that allows real-time adaption of video settings to a viewer's physical state. A custom made program toggles between videos according to the average eye blink frequency of each viewer. The physical data is harnessed with J!NS MEME smart glasses that utilize electrooculography (EOG). To the best of our belief, this is the first adaptable multimedia system that responds in real time to physical data and alters technical settings of video contents.