Implementation of an EOG based security system by analyzing eye movement patterns

In this paper, a new security system is proposed based on human computer interface by using Electrooculography (EOG) signal keeping concentration on physically disabled people. Nowadays security is the main concern in every sector of our life. Most of the system requires a secret password to get access of the system under protection. In our work, a password based security system is proposed where password can be given by eye via EOG signal. The EOG interface detects the eye movement through electrodes placed on the face around the eyes. A unique pattern of EOG signal obtained by eye movement in certain directions can give the most secure password. An algorithm is proposed to detect the eye movement and extract the features of EOG signal. These features are further used to recognize the pattern for password using string matching technique. This system can be used as an added feature of EOG based assistive system. This is an offline approach which is highly accurate and reliable.