A Glass-type Agent for Human Memory Assistance for Face Recognition

Abstract

This paper proposes an agent to assist human cognition in memorizing multiple human faces by analyzing user's eye gaze points. The gaze point which is the direction of sight is obtained by the infrared camera on a glass-type agent with the help of an embedded module. The gaze information is then combined with the image captured by the frontal camera to identify the location of the face that the user is looking at among several faces. The gaze detection and face selection with tracking are performed in embedded modules attached to the glass-type agent, and the recognition of the selected facial images is performed and shown on a mobile computer connected via wireless network. The major contribution of the proposed work is the use of eye gaze direction to select faces of interest, and provide information regarding the faces to improve human memory capability in recalling the faces.