TY  - CONF
PB  - Institute of Electrical and Electronics Engineers Inc.
KW  - Adaptive optics; Algorithms; Behavioral research; Control systems; Decision making; Fuzzy inference; Fuzzy neural networks; Fuzzy sets; Fuzzy systems; Image classification; Image matching; Pattern matching; Video streaming; Virtual reality
KW  -  Adaptive neuro-fuzzy inference system; Area of interest; Classification methods; Degenerative disease; Fuzzy algorithms; People with disabilities; Remotely controlled robotic avatar; Spinal muscular atrophy
KW  -  Robotics
UR  - https://www.scopus.com/inward/record.uri?eid=2-s2.0-84978924629&doi=10.1109%2fICCSCE.2015.7482219&partnerID=40&md5=56cede46bd7fa06eb60bb536bc27c797
ID  - scholars7027
AV  - none
N1  - cited By 0; Conference of 5th IEEE International Conference on Control System, Computing and Engineering, ICCSCE 2015 ; Conference Date: 27 November 2015 Through 29 November 2015; Conference Code:121955
Y1  - 2016///
N2  - 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.
A1  - Qidwai, U.
A1  - Shakir, M.
A1  - Bahameish, M.
SP  - 401
EP  - 406
SN  - 9781479982523
TI  - Real-time robotic avatar control using fuzzy gaze-classification for people with disability
ER  -