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A wearable face recognition system for individuals with visual impairments
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Source ACM SIGACCESS Conference on Assistive Technologies archive
Proceedings of the 7th international ACM SIGACCESS conference on Computers and accessibility table of contents
Baltimore, MD, USA
SESSION: Assistive technologies for individuals with visual impairments I table of contents
Pages: 106 - 113  
Year of Publication: 2005
ISBN:1-59593-159-7
Authors
Sreekar Krishna  Arizona State University, Tempe, AZ
Greg Little  Arizona State University, Tempe, AZ
John Black  Arizona State University, Tempe, AZ
Sethuraman Panchanathan  Arizona State University, Tempe, AZ
Sponsors
SIGACCESS: ACM Special Interest Group on Accessible Computing
ACM: Association for Computing Machinery
Publisher
ACM  New York, NY, USA
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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.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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Collaborative Colleagues:
Sreekar Krishna: colleagues
Greg Little: colleagues
John Black: colleagues
Sethuraman Panchanathan: colleagues