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    • Thesis & Report, BSc (Computer Science and Engineering)
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    •   BracU IR
    • School of Data and Sciences (SDS)
    • Department of Computer Science and Engineering (CSE)
    • Thesis & Report, BSc (Computer Science and Engineering)
    • View Item
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    Entry restricted security system for a smart home

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    12301041, 12301042, 12301044 & 12301049_CSE.pdf (922.7Kb)
    Date
    2016-08
    Publisher
    BRAC University
    Author
    Razi, Abdullah Al
    Hossain, Md. Emarat
    Rahman, Farah
    Shahnawaj, Md. Hossain
    Metadata
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    URI
    http://hdl.handle.net/10361/6418
    Abstract
    This 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.
    Keywords
    Entry restricted security; Home security; Smart home
     
    Description
    This thesis report is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2016.
     
    Cataloged from PDF version of thesis report.
     
    Includes bibliographical references (page 24-25).
    Department
    Department of Computer Science and Engineering, BRAC University
    Collections
    • Thesis & Report, BSc (Computer Science and Engineering)

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