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Volumn , Issue , 2013, Pages

Recognition of direction of fall by smartphone

Author keywords

Accelerometer; Fall detection; Fall direction; Smart phone

Indexed keywords

CENTER OF GRAVITY; FALL DETECTION; FALL DIRECTION; HUMAN BODIES; OPEN SOURCE SYSTEM; SITTING DOWN; STANDING-UP;

EID: 84883109634     PISSN: 08407789     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CCECE.2013.6567781     Document Type: Conference Paper
Times cited : (11)

References (18)
  • 1
    • 84856241051 scopus 로고    scopus 로고
    • Abnormal human activity recognition system based on r-transform and kernel discriminant technique for elderly home care
    • Nov
    • Zafar A. Khan, and Won Sohn, "Abnormal Human Activity Recognition System Based on R-Transform and Kernel Discriminant Technique for Elderly Home Care," IEEE Trans. Consumer Electron., vol. 57, no. 4, pp. 1843-1850, Nov. 2011
    • (2011) IEEE Trans. Consumer Electron , vol.57 , Issue.4 , pp. 1843-1850
    • Khan, Z.A.1    Sohn, W.2
  • 2
    • 84858720456 scopus 로고    scopus 로고
    • One class boundary method classifiers for application in a video-based fall detection system
    • March
    • M. Yu, S.M. Naqvi, A. Rhuma and J. Chambers, "One class boundary method classifiers for application in a video-based fall detection system," Computer Vision, IET, pp. 90-100, March 2012
    • (2012) Computer Vision, IET , pp. 90-100
    • Yu, M.1    Naqvi, S.M.2    Rhuma, A.3    Chambers, J.4
  • 7
    • 72649098464 scopus 로고    scopus 로고
    • A method for automatic fall detection of elderly people using floor vibrations and sound-proof of concept on human mimicking doll falls
    • Dec
    • Yun Li, Zhiling Zeng and Mihail Popescu, "A Method for Automatic Fall Detection of Elderly People Using Floor Vibrations and Sound-Proof of Concept on Human Mimicking Doll Falls," IEEE Transactions on Biomedical Engineering, pp. 2858-2867, Dec. 2009
    • (2009) IEEE Transactions on Biomedical Engineering , pp. 2858-2867
    • Li, Y.1    Zeng, Z.2    Popescu, M.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.