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Volumn , Issue , 2011, Pages

Detection of quasi-static instants from handheld MEMS devices

Author keywords

Gait Analysis; MEMS; Pedestrian Dead Reckoning; Pedestrian Navigation; Step Length

Indexed keywords

DEAD RECKONING; DECISION TREE CLASSIFIERS; EXPERIMENTAL DATA; HANDHELDS; HUMAN GAIT; MEMSDEVICES; MOBILE-PHONE USERS; MOTION MODES; PEDESTRIAN NAVIGATION; QUASI-STATIC; STEP LENGTH; TEXTING;

EID: 82955186948     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IPIN.2011.6071911     Document Type: Conference Paper
Times cited : (18)

References (13)
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  • 3
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  • 5
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    • Omnidirectional pedestrian navigation for first responder
    • Navigation and Communication, WPNC07, Hannover, Germany, March 22
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    • (2007) Proceedings of the 4th Workshop on Positioning
    • Beauregard, S.1
  • 9
    • 79956325126 scopus 로고    scopus 로고
    • Accelerometer signal features and classification algorithms for positioning applications
    • Institute of Navigation, San Diego, CA, USA, 24-26 January
    • M. Susi., D. Borio, and G. Lachapelle, "Accelerometer Signal Features and Classification Algorithms for Positioning Applications" in Proceedings of International Technical Meeting, Institute of Navigation, San Diego, CA, USA, 24-26, 12 pages, January 2011.
    • (2011) Proceedings of International Technical Meeting , pp. 12
    • Susi, M.1    Borio, D.2    Lachapelle, G.3
  • 11
    • 0025661988 scopus 로고
    • Automatic stance-swing phase detection from accelerometer data and peroneal nerve stimulation
    • IEEE December
    • T. Anthoon, M. Willemsen and F. Blohemof, "Automatic stance-swing phase detection from accelerometer data and peroneal nerve stimulation", IEEE, IEEE Transactions on Biomedical Engineering, Vol. 37, No. 12. December1990
    • (1990) IEEE Transactions on Biomedical Engineering , vol.37 , Issue.12
    • Anthoon, T.1    Willemsen, M.2    Blohemof, F.3
  • 12
    • 82955238858 scopus 로고    scopus 로고
    • Toward physical activity diary: Motion recognition using acceleration with mobile phones
    • China, 23 October
    • J. Yang, "Toward physical activity diary: motion recognition using acceleration with mobile phones", IMCE'09 Bejiing, China, 23 October, 2009
    • (2009) IMCE'09 Bejiing
    • Yang, J.1
  • 13
    • 78650376364 scopus 로고    scopus 로고
    • Activity recognition using cell phone accelerometers
    • Washington, DC, USA, July
    • J.R. Kwaapisz, G.M. Weiss and S.A. Moore "Activity recognition using cell phone accelerometers", Sensor KDD'10. Washington, DC, USA, July, 2010
    • (2010) Sensor KDD'10
    • Kwaapisz, J.R.1    Weiss, G.M.2    Moore, S.A.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.