iCARE Interaction Assistant: A wearable face recognition system for individuals with visual impairments

Sreekar Krishna, Greg Little, John Black, Sethuraman Panchanathan

Research output: Chapter in Book/Report/Conference proceedingConference contribution

11 Scopus citations

Abstract

This presentation demonstrates a working prototype of the iCare Interaction Assistant, a wearable assistive device based on research aimed at facilitating the social interactions of people who are blind or visually impaired. Using a tiny unobtrusive camera mounted inside the nose bridge of a pair of eyeglasses, this prototype is able to learn and recognize faces at a distances up to 10 feet, thus allowing the user to initiate conversations with persons in their vicinity, without waiting for others to approach them. Ongoing work is aimed at facilitating the subsequent verbal interaction by recognizing and interpreting non-verbal communication, including eye contact, facial expressions, emotions, and gestures.

Original languageEnglish (US)
Title of host publicationASSETS 2005 - The Seventh International ACM SIGACCESS Conference on Computers and Accessibility
Pages216-217
Number of pages2
DOIs
StatePublished - 2005
EventASSETS 2005 - The Seventh International ACM SIGACCESS Conference on Computers and Accessibility - Baltimore, MD, United States
Duration: Oct 9 2005Oct 12 2005

Publication series

NameASSETS 2005 - The Seventh International ACM SIGACCESS Conference on Computers and Accessibility

Conference

ConferenceASSETS 2005 - The Seventh International ACM SIGACCESS Conference on Computers and Accessibility
Country/TerritoryUnited States
CityBaltimore, MD
Period10/9/0510/12/05

Keywords

  • Assistive Device for Visually Impaired
  • Face Recognition
  • Social Interaction Aide
  • Wearable Computing

ASJC Scopus subject areas

  • General Engineering

Fingerprint

Dive into the research topics of 'iCARE Interaction Assistant: A wearable face recognition system for individuals with visual impairments'. Together they form a unique fingerprint.

Cite this