IRIS CONTROLLED WHEELCHAIR

Hamid Mahmood, 01-132182-010; Talha Tariq, 01-132172-028; Usman Qureshi, 01-132172-023

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dc.contributor.author	Hamid Mahmood, 01-132182-010
dc.contributor.author	Talha Tariq, 01-132172-028
dc.contributor.author	Usman Qureshi, 01-132172-023
dc.date.accessioned	2022-10-24T06:03:01Z
dc.date.available	2022-10-24T06:03:01Z
dc.date.issued	2022
dc.identifier.uri	http://hdl.handle.net/123456789/13739
dc.description	Supervised by Engr. Yasir Amir Niazi	en_US
dc.description.abstract	The loss of motion is a great tragedy that can happen to any human. Sometimes the individual can only move his eyes losing all the other motor abilities in the body. Automated wheelchairs that use gestures such as head movement or voice recognition are insufficient for such patients; Iris-controlled wheelchair is a possible solution for such individuals. In this work, a strategy for eyeball position detection is proposed for controlling the wheelchair. The iris position is progressively identified through frames in video and is followed. The idea is to make an iris-controlled system that permits the movement of wheelchair, based on movement of eye. The wheelchair system developed in this project can move along a path when the patient simply gazes in that direction.	en_US
dc.language.iso	en	en_US
dc.publisher	Computer Engineering, Bahria University Engineering School Islamabad	en_US
dc.relation.ispartofseries	BCE;P-1665
dc.subject	Computer Engineering	en_US
dc.title	IRIS CONTROLLED WHEELCHAIR	en_US
dc.type	Project Reports	en_US