A Wearable Face Recognition System for Individuals with Visual Impairments

Publication Type:

Conference Paper

Authors:

S. Krishna, G. Little, J. Black, S. Panchanathan

Source:

International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS 2005), Baltimore, MD (2005)

Abstract:

This paper describes the iCare Interaction Assistant, an assistive device for helping the individuals who are visually impaired during social interactions. The research presented here addresses the problems encountered in implementing real-time face recognition algorithms on a wearable device. Face recognition is the initial step towards building a comprehensive social interaction assistant that will identify and interpret facial expressions, emotions and gestures. Experiments conducted for selecting a face recognition algorithm that works despite changes in facial pose and illumination angle are reported. Performance details of the face recognition algorithms tested on the device are presented along with the overall performance of the system. The specifics of the hardware components used in the wearable device are mentioned and the block diagram of the wearable system is explained in detail.

Authors

Sreekar Krishna

Sreekar Krishna

Assistant Research Technologist

John A. Black, Jr

John A. Black, Jr

Research Scientist

Dr. Sethuraman "Panch" Panchanathan

Dr. Sethuraman "Panch" Panchanathan

Director, National Science Foundation