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Volumn , Issue , 2012, Pages

Activity and environment classification using foot mounted navigation sensors

Author keywords

Activity classification; Acvtivity recognition; First Responder; Motion Analysis; Offender Management; Pedestrian Pattern Recognition

Indexed keywords

ACTIVITY CLASSIFICATIONS; ACVTIVITY RECOGNITION; DATA COLLECTION; ENVIRONMENT CLASSIFICATION; FIRST RESPONDERS; GPS RECEIVERS; GPS SIGNALS; GPS TRACKING; IN-VEHICLE; MILITARY PERSONNELS; MOTION ANALYSIS; NAIVE BAYESIAN; NAVIGATION FILTERS; NAVIGATION SENSORS;

EID: 84874237297     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IPIN.2012.6418902     Document Type: Conference Paper
Times cited : (21)

References (11)
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  • 3
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    • Ma, Y.1    Hesch, J.A.2
  • 4
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    • Pirttikangas, S.1    Fujinami, K.2    Nakajima, T.3
  • 6
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    • Step length estimation using handheld inertial sensors
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    • Reliable real-time recognition of motion related human activities using mems inertial sensors
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    • Frank, K.1    Vera Nadales, M.J.2    Robertson, P.3    Angermann, M.4
  • 9
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    • Combining probability from independent tests: The weighted z-method is superior to fisher's approach
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    • M. C. Whitlock, "Combining probability from independent tests: The weighted Z-method is superior to Fisher's approach," Journal of Evoluntionary Biology. vol. 18, pp. 1368-1373,2005
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    • Whitlock, M.C.1
  • 10
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    • Design and testing of a multi-sensor pedestrian location and navigation platform
    • A. Morrison, V. Renaudin, 1. B. Bancroft, and G. Lachapelle, "Design and Testing of a Multi-Sensor Pedestrian Location and Navigation Platform," Sensors. vol. 12, pp. 3720-3738, 2012
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.