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Human faces detection and localization with simulated prosthetic vision

Published: 27 April 2013 Publication History

Abstract

Clinical trials reveal that current visual neuroprosthesis are not yet usable. The main reason is the small number of implanted electrodes, leading to a very poor visual resolution. The resolution is especially not sufficient to detect specific objects (faces, signs, etc.) in the surroundings. We used simulated prosthetic vision (SPV) to show that pre-processing of the camera image could restore these functions, even with low-resolution implants. Specifically, we showed that it is possible to quickly detect and localize human faces located nearby. We suggest that high-level processing of the video stream may be included in current visual neuroprosthesis. This would restore many visuomotor behaviors such as grasping, heading, steering, etc.

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Chen, S.C., Suaning, G.J., Morley, J.W., and Lovell, N.H. Simulating prosthetic vision: I. Visual models of phosphenes. Vision Research 49, 12 (2009), 1493--1506.
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Cited By

View all
  • (2023)Artificial intelligence techniques for retinal prostheses: a comprehensive review and future directionJournal of Neural Engineering10.1088/1741-2552/acb29520:1(011003)Online publication date: 15-Feb-2023
  • (2022)Immersive Virtual Reality Simulations of Bionic VisionProceedings of the Augmented Humans International Conference 202210.1145/3519391.3522752(82-93)Online publication date: 13-Mar-2022
  • (2021)Effect of camera position on egocentric localisation with Simulated Prosthetic VisionEngineering Research Express10.1088/2631-8695/abcd513:1(015016)Online publication date: 4-Feb-2021
  • Show More Cited By

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Information

Published In

cover image ACM Conferences
CHI EA '13: CHI '13 Extended Abstracts on Human Factors in Computing Systems
April 2013
3360 pages
ISBN:9781450319522
DOI:10.1145/2468356
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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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 27 April 2013

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Author Tags

  1. computer vision
  2. retinal prosthesis
  3. simulated prosthetic vision
  4. visual impairment

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CHI '13
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CHI EA '13 Paper Acceptance Rate 630 of 1,963 submissions, 32%;
Overall Acceptance Rate 6,164 of 23,696 submissions, 26%

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CHI Conference on Human Factors in Computing Systems
April 26 - May 1, 2025
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Cited By

View all
  • (2023)Artificial intelligence techniques for retinal prostheses: a comprehensive review and future directionJournal of Neural Engineering10.1088/1741-2552/acb29520:1(011003)Online publication date: 15-Feb-2023
  • (2022)Immersive Virtual Reality Simulations of Bionic VisionProceedings of the Augmented Humans International Conference 202210.1145/3519391.3522752(82-93)Online publication date: 13-Mar-2022
  • (2021)Effect of camera position on egocentric localisation with Simulated Prosthetic VisionEngineering Research Express10.1088/2631-8695/abcd513:1(015016)Online publication date: 4-Feb-2021
  • (2018)Design Guideline for Developing Safe Systems that Apply Electricity to the Human BodyACM Transactions on Computer-Human Interaction10.1145/318474325:3(1-36)Online publication date: 8-Jun-2018
  • (2014)Wayfinding with simulated prosthetic vision: Performance comparison with regular and structure-enhanced renderings2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society10.1109/EMBC.2014.6944151(2585-2588)Online publication date: Aug-2014

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