Human activity recognition using sensor data of smartphones and smartwatches / Bishoy Bassem Morris Sefan ; Supervised Silm Abdennadher , Andreas Dengel
Material type:
TextLanguage: English Publication details: Cairo : Bishoy Bassem Morris Sefan , 2015Description: 77 P. : charts , facsimies ; 30cmSubject(s): Dissertation note: Thesis (M.Sc.) - Garman University - Faculty of Postgraduate Studies and Scientific Research- Department of Computer Science and Engineering Summary: This thesis aims to study and evaluate the methods for recognizing human activities in real-time using the sensors incorporated in smartphones and smartwatches. The addition of smartwatches's sensors to the sensing capabilities of the recoginition system can in crease the range of activities to be identified and improve the classification accuracy
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Thesis
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قاعة الثقاقات الاجنبية - الدور الثالث | المكتبة المركزبة الجديدة - جامعة القاهرة | Cai01.34.M.Sc.2015.Bi.H (Browse shelf(Opens below)) | Not for loan | 01010110072159000 |
Thesis (M.Sc.) - Garman University - Faculty of Postgraduate Studies and Scientific Research- Department of Computer Science and Engineering
This thesis aims to study and evaluate the methods for recognizing human activities in real-time using the sensors incorporated in smartphones and smartwatches. The addition of smartwatches's sensors to the sensing capabilities of the recoginition system can in crease the range of activities to be identified and improve the classification accuracy
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