Face and Eyes mouse for ALS Patients

The objective of this project is to develop the software to detect the Amyotrophic Lateral Sclerosis (ALS) patient's face and eyes movement, so that the patient is able to use computer as normal people. The developed system is called Face and Eyes mouse for ALS Patients or FEMA. The system is divided into 2 parts, client part and system part. The client part is ALS patients who are able to use mouse and keyboard simulation by using only their head and eyes' movement. Another part is FEMA system which will analyze their actions and return the action result to the patient. In addition, there is the keyboard simulation which provides the similar function as the real keyboard. From the experimental results, the precision rate of all functions except move up and move down is more than 80%. We also found that the important factors of the detection result are brightness and camera quality which are most sensitive to the detection accuracy.