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dc.contributor.advisorAli, Md. Haider
dc.contributor.authorHasan, Sakib
dc.contributor.authorTamim, Md. Tahsin Alam
dc.contributor.authorRobin, S. M. Tarequl Hasan
dc.contributor.authorTasnim, Sadia
dc.contributor.authorMahmud, Shah Tanvir
dc.date.accessioned2017-01-30T08:53:29Z
dc.date.available2017-01-30T08:53:29Z
dc.date.copyright2016
dc.date.issued2016
dc.identifier.otherID 12301003
dc.identifier.otherID 12301022
dc.identifier.otherID 12301013
dc.identifier.otherID 14101265
dc.identifier.otherID 12321054
dc.identifier.urihttp://hdl.handle.net/10361/7711
dc.descriptionThis thesis report is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2016.en_US
dc.descriptionCataloged from PDF version of thesis report.
dc.descriptionIncludes bibliographical references (page 25)
dc.description.abstractFor people with mobility disabilities, communicating via smartphone is often frustrating, and require constant assistance. Among the diseases, only Parkinsons disease alone a↵ects up to 10 million people worldwide[1]. Especially, people having hand tremor, have major issues using mobile phones. To solve this, we want to implement a mobile application that will enable users to operate the mobile device touch-free. Most of the current eye tracking solutions use expensive hardware, but our proposed system will not require any additional hardware, it will use mobile device’s front camera. To achieve this, we will use combination of few detection methods including: face, eye, pupil, corner detection and calibration of the data.en_US
dc.description.statementofresponsibilitySakib Hasan
dc.description.statementofresponsibilityMd. Tahsin Alam Tamim
dc.description.statementofresponsibilityS. M. Tarequl Hasan Robin
dc.description.statementofresponsibilitySadia Tasnim
dc.description.statementofresponsibilityShah Tanvir Mahmud
dc.format.extent25 pages
dc.language.isoenen_US
dc.publisherBRAC Universityen_US
dc.rightsBRAC University thesis are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission.
dc.subjectAndroid deviceen_US
dc.subjectEye trackingen_US
dc.titleControlling android device with eye trackingen_US
dc.typeThesisen_US
dc.contributor.departmentDepartment of Computer Science and Engineering, BRAC University
dc.description.degreeB. Computer Science and Engineering


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