Eye care device for facial paralyzed patients

Aim:

Aim of this project is automatic raspberry pi based automatic eye blinking system for facial paralyzed patients.

Abstract:

          FACIAL paralysis is a disease making people losing facial movements, which are caused by nerve damages. People suffering from facial paralysis usually have muscles on one side of the face noticeably droop, which seriously impacts the person’s quality of life. What is worse, facial paralysis can incur eye damage even blindness, because the eyelid on the affected side cannot fully close, which makes the eye dry and infected by debris. The most common form of facial paralysis is known as Bell’s palsy, which impacts 40,000 people in U.S. each year, where the typical symptom is the muscle dysfunction on one side of the face.

            In this paper is proposed raspberry pi based eye blink detecting device for system user. Raspberry pi is containing one USB camera, this camera is used to monitor the person eye blink count. The basic idea of eye Blink is to monitor the normal side of the face with a camera and stimulate the paralyzed side, so that the blink of both sides of the face could become symmetric. Haar cascade algorithm is used to detect particularly eye blink count of user. When the person continuously will not close the eye then controller will check and activate small shocking system in user face. This shocking system is containing small automatic stimulation circuits. This circuit is providing electric impulse to the user face.