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Entry restricted security system for a smart home

dc.contributor.advisorUddin, Dr. Jia
dc.contributor.authorRazi, Abdullah Al
dc.contributor.authorHossain, Md. Emarat
dc.contributor.authorRahman, Farah
dc.contributor.authorShahnawaj, Md. Hossain
dc.date.accessioned2016-09-20T04:23:54Z
dc.date.available2016-09-20T04:23:54Z
dc.date.copyright2016
dc.date.issued2016-08
dc.identifier.otherID 12301041
dc.identifier.otherID 12301042
dc.identifier.otherID 12301044
dc.identifier.otherID 12301049
dc.identifier.urihttp://hdl.handle.net/10361/6418
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 24-25).
dc.description.abstractThis report represents a new personal identification method for entry restricted security system. In this proposed method skeleton recognizing feature of Kinect is being used to identify human. Human identification has been done by comparing 19 body segment’s length and 8 angles of different body joints with the saved lengths and angles. Fuzzy C–means (FCM) algorithm is used to compare new data with the data in the database. The system will decide whether to restrict or allow any person depending on the comparison result of FCM algorithm. Experimental results show that the proposed method exhibited 100% accuracy for our tested dataset.en_US
dc.description.statementofresponsibilityAbdullah Al Razi
dc.description.statementofresponsibilityMd. Emarat Hossain
dc.description.statementofresponsibilityFarah Rahman
dc.description.statementofresponsibilityMd. Hossain Shahnawaj
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.subjectEntry restricted securityen_US
dc.subjectHome securityen_US
dc.subjectSmart homeen_US
dc.titleEntry restricted security system for a smart homeen_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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