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EYE GAZE-BASED INTERACTION WITH PERSONAL COMPUTER

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dc.contributor.author Babar, Zohaib Reg # 39327
dc.contributor.author Haider, Ali Reg # 39204
dc.contributor.author Ahmed, Ayaz Reg # 39216
dc.contributor.author Shehzad, Asher Reg # 39214
dc.date.accessioned 2020-12-27T00:01:59Z
dc.date.available 2020-12-27T00:01:59Z
dc.date.issued 2018
dc.identifier.uri http://hdl.handle.net/123456789/10627
dc.description Supervised by Dr. Bilal Hameed en_US
dc.description.abstract A human-computer interface (HCI) system designed for use by people with severe disabilities is presented. People that are severely paralyzed or afflicted with diseases such as ALS (Lou Gehrig’s disease) or multiple sclerosis are unable to move or control any parts of their bodies except for their eyes. A vision-based human computer interaction is obtainable. The interface senses involuntary eye blink and interprets them as control commands. The system presented here detects the user’s eye blinks and analyses the pattern and duration of the blinks, using them to provide input to the computer. If the user’s depth changes significantly or rapid head movement occurs, the system is automatically reinitialized. There are no lighting requirements nor offline templates needed for the proper functioning of the system. The system works with inexpensive USB cameras. Experiments will conducted to determine both the system’s accuracy in classifying voluntary and involuntary blinks, as well as the system’s fitness in varying environment conditions, such as alternative camera placements and different lighting conditions. It can also be used in entertainment factors like games [25]. The planned system is very relaxed to arrange and use. It is completely non-intrusive and it only needs one low-cost web camera and workstation. en_US
dc.language.iso en_US en_US
dc.publisher Bahria University Karachi Campus en_US
dc.relation.ispartofseries BS CS;MFN BSCS 131
dc.title EYE GAZE-BASED INTERACTION WITH PERSONAL COMPUTER en_US
dc.type Thesis en_US


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