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040 _aEG-GiCUC
_beng
_cEG-GiCUC
041 0 _aeng
049 _aDeposite
097 _aM.Sc
099 _aCai01.13.03.M.Sc.2016.Am.A
100 0 _aAmira Gaber Mahmoud Ahmed Elsharkawey
245 1 0 _aAutomated grading of facial paralysis using the kinect v2 /
_cAmira Gaber Mahmoud Ahmed Elsharkawey ; Supervised Manal Abdelwahed , Mona Taher
246 1 5 _aتقييم مدى الاصابة بشلل الوجه بطريقة أوتوماتيكية باستخدام الاصدار الثانى لجهاز الكينيكت
260 _aCairo :
_bAmira Gaber Mahmoud Ahmed Elsharkawey ,
_c2016
300 _a67 P. :
_bcharts , facsimiles , photosraphs ;
_c30cm
502 _aThesis (M.Sc.) - Cairo University - Faculty of Engineering - Department of Systems and Biomedical Engineering
520 _aThis thesis describes the research, design, implementation, and testing of an automated quantitative grading system used for Facial Paralysis (FP) assessment. This system has three assessment modules; resting symmetry assessment, voluntary movement assessment, and traditional scales assessment. The system is based on the Kinect v2 hardware and the accompanying software SDK 2.0 in extracting the real time facial landmark points without the need to place markers on the subject{u2019}s face. The system can be used for grading facial asymmetry based on detecting the positions and movements of certain selected facial landmarks. The initial method of grading resting symmetry depending on the ratio between distances in both sides has limitations. Several modifications were added to overcome the limitations and increase the accuracy. The modified grading method was tested on normal persons and the results were promising. The system has significant advantages over the existing grading scales. It is fast, easy to use, low cost, quantitative, and automated and hence it is suitable to be used as a clinical tool
530 _aIssued also as CD
653 4 _aFacial Paralysis
653 4 _aGrading Systems
653 4 _aKinect v2
700 0 _aManal Abdelwahed ,
_eSupervisor
700 0 _aMona Taher ,
_eSupervisor
856 _uhttp://172.23.153.220/th.pdf
905 _aNazla
_eRevisor
905 _aSoheir
_eCataloger
942 _2ddc
_cTH
999 _c57657
_d57657