DEVELOPMENT OF A HUMAN-COMPUTER INTERFACE DEVICE USING ELECTROOCULOGRAM FOR THE AMYOTROPHIC LATERAL SCLEROSIS PATIENT
Sunmee Park, Dong Woo Kim, Hee Chan Kim · 2005
Human-computer interface (HCI) device by utilizing electro-oculargram(EOG) signals can be an alternative means of communication especially for amyotrophiv lateral sclerosis(ALS) patients. For confirming the validity of using EOG signals of ALS patients, we contacted an ALS patient in Seoul National University Hospital, recorded EOG signals and analyzed them. Then we developed a HCI input device using EOG signals. For utilizing obtained signals, the peak detection algorithm and efficient graphic user interface(GUI) were suggested. Based on the patient's analysis, we could confirm the validity of the EOG-based input device for patients. By suggested eye detection and GUI, we successfully optimized both the accuracy and robustness of the input signals from the EOG-based input device.