Cited By
View all- Jiang BYang JLv ZSong H(2019)Wearable Vision Assistance System Based on Binocular Sensors for Visually Impaired UsersIEEE Internet of Things Journal10.1109/JIOT.2018.28422296:2(1375-1383)Online publication date: Apr-2019
The Third Eye: A Shopping Assistant for the Visually Impaired
Authors: 
John M. Carroll, 
Michelle McManus, Sooyeon Lee, Peter A. Zientara, Vijaykrishnan NarayananAuthors Info & Claims
John M. Carroll, Michelle McManus, Sooyeon Lee, Peter A. Zientara, Vijaykrishnan NarayananAuthors Info & ClaimsPage 465
Abstract
This video describes HCI work that is part of a multi-university NSF Expedition in Computing "Visual Cortex on Silicon" (CCF 1317560) spanning vision science, computer vision, processor architecture, information retrieval, and human-computer interaction. Our driving application is a smart camera prosthetic enabling people with visual impairment to shop on their own. The video was originally shown during Big Ten television broadcasts in Fall 2016.
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- The Third Eye: A Shopping Assistant for the Visually Impaired
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Information & Contributors
Information
Published In
May 2017
3954 pages
ISBN:9781450346566
DOI:10.1145/3027063
- General Chairs:
- Gloria Mark,
- Susan Fussell,
- Program Chairs:
- Cliff Lampe,
- m.c. schraefel,
- Juan Pablo Hourcade,
- Caroline Appert,
- Daniel Wigdor
Copyright © 2017 Owner/Author.
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.
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Publisher
Association for Computing Machinery
New York, NY, United States
Publication History
Published: 06 May 2017
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Author Tag
Qualifiers
- Extended-abstract
Funding Sources
- Technological assistive prosthetics transform people's lives.
Conference
CHI '17
Sponsor:
Acceptance Rates
CHI EA '17 Paper Acceptance Rate 1,000 of 5,000 submissions, 20%;
Overall Acceptance Rate 6,164 of 23,696 submissions, 26%
Upcoming Conference
CHI 2025
- Sponsor:
- sigchi
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Cited By
View all- Jiang BYang JLv ZSong H(2019)Wearable Vision Assistance System Based on Binocular Sensors for Visually Impaired UsersIEEE Internet of Things Journal10.1109/JIOT.2018.28422296:2(1375-1383)Online publication date: Apr-2019
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