Real-time robotic avatar control using fuzzy gaze-classification for people with disability

Robotic control with gaze-classification has been an area of interest for quite some time. In this paper, a novel solution of implementing sensing system with intelligent visualization has been presented. Such a system can have a variety of applications but can be of exceptional importance for patie...

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Main Authors: Qidwai, U., Shakir, M., Bahameish, M.
Format: Conference or Workshop Item
Published: Institute of Electrical and Electronics Engineers Inc. 2016
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-84978924629&doi=10.1109%2fICCSCE.2015.7482219&partnerID=40&md5=56cede46bd7fa06eb60bb536bc27c797
http://eprints.utp.edu.my/30864/
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spelling my.utp.eprints.308642022-03-25T07:39:44Z Real-time robotic avatar control using fuzzy gaze-classification for people with disability Qidwai, U. Shakir, M. Bahameish, M. Robotic control with gaze-classification has been an area of interest for quite some time. In this paper, a novel solution of implementing sensing system with intelligent visualization has been presented. Such a system can have a variety of applications but can be of exceptional importance for patients suffering with spinal muscular atrophy (SMA) disorder, which gradually end with paralyzed state. The presented solution incorporates Optical Gaze System, within a Virtual reality (VR) headset to control a robotic Avatar remotely based on the gaze position. The robot is being called as avatar due to its ability to maneuver and provide audio and video streams to the user wearing the VR headset, thus acting as an extension of the user him/herself. Hence people with permanent disability due to degenerative diseases such as SMA can benefit from this design by utilizing the avatar to see things and places where they cannot go themselves. The psychological impetus can assist tremendously in their treatment. The Fuzzy Algorithm presented here enables a very fast image classification method for such near-real-time application. Consequently, the processing and decision making of the system takes about a second with an accuracy of over 95. © 2015 IEEE. Institute of Electrical and Electronics Engineers Inc. 2016 Conference or Workshop Item NonPeerReviewed https://www.scopus.com/inward/record.uri?eid=2-s2.0-84978924629&doi=10.1109%2fICCSCE.2015.7482219&partnerID=40&md5=56cede46bd7fa06eb60bb536bc27c797 Qidwai, U. and Shakir, M. and Bahameish, M. (2016) Real-time robotic avatar control using fuzzy gaze-classification for people with disability. In: UNSPECIFIED. http://eprints.utp.edu.my/30864/
institution Universiti Teknologi Petronas
building UTP Resource Centre
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Petronas
content_source UTP Institutional Repository
url_provider http://eprints.utp.edu.my/
description Robotic control with gaze-classification has been an area of interest for quite some time. In this paper, a novel solution of implementing sensing system with intelligent visualization has been presented. Such a system can have a variety of applications but can be of exceptional importance for patients suffering with spinal muscular atrophy (SMA) disorder, which gradually end with paralyzed state. The presented solution incorporates Optical Gaze System, within a Virtual reality (VR) headset to control a robotic Avatar remotely based on the gaze position. The robot is being called as avatar due to its ability to maneuver and provide audio and video streams to the user wearing the VR headset, thus acting as an extension of the user him/herself. Hence people with permanent disability due to degenerative diseases such as SMA can benefit from this design by utilizing the avatar to see things and places where they cannot go themselves. The psychological impetus can assist tremendously in their treatment. The Fuzzy Algorithm presented here enables a very fast image classification method for such near-real-time application. Consequently, the processing and decision making of the system takes about a second with an accuracy of over 95. © 2015 IEEE.
format Conference or Workshop Item
author Qidwai, U.
Shakir, M.
Bahameish, M.
spellingShingle Qidwai, U.
Shakir, M.
Bahameish, M.
Real-time robotic avatar control using fuzzy gaze-classification for people with disability
author_facet Qidwai, U.
Shakir, M.
Bahameish, M.
author_sort Qidwai, U.
title Real-time robotic avatar control using fuzzy gaze-classification for people with disability
title_short Real-time robotic avatar control using fuzzy gaze-classification for people with disability
title_full Real-time robotic avatar control using fuzzy gaze-classification for people with disability
title_fullStr Real-time robotic avatar control using fuzzy gaze-classification for people with disability
title_full_unstemmed Real-time robotic avatar control using fuzzy gaze-classification for people with disability
title_sort real-time robotic avatar control using fuzzy gaze-classification for people with disability
publisher Institute of Electrical and Electronics Engineers Inc.
publishDate 2016
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-84978924629&doi=10.1109%2fICCSCE.2015.7482219&partnerID=40&md5=56cede46bd7fa06eb60bb536bc27c797
http://eprints.utp.edu.my/30864/
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score 13.160551