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      가속도 센서를 이용한 보행 정보 및 보행자 위치 추정 = Pedestrian Gait Estimation and Localization using an Accelerometer

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      https://www.riss.kr/link?id=A100234087

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      다국어 초록 (Multilingual Abstract) kakao i 다국어 번역

      This paper presents the use of 3 axis accelerometer for getting the gait information including the number of gaits, stride and walking distance. Travel distance is usually calculated from the double integration of the accelerometer output with respect to time; however, the accumulated errors due to the drift are inevitable. The orientation change of the accelerometer also causes error because the gravity is added to the measured acceleration. Unless three axis orientations are completely identified, the accelerometer alone does not provide correct acceleration for estimating the travel distance. We proposed a way of minimizing the error due to the change of the orientation. Pedestrian localization is implemented with the heading angle and the travel distance. Heading angle is estimated from the rate gyro and the magnetic compass measurements. The performance of the localization is presented with experimental data.
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      This paper presents the use of 3 axis accelerometer for getting the gait information including the number of gaits, stride and walking distance. Travel distance is usually calculated from the double integration of the accelerometer output with respect...

      This paper presents the use of 3 axis accelerometer for getting the gait information including the number of gaits, stride and walking distance. Travel distance is usually calculated from the double integration of the accelerometer output with respect to time; however, the accumulated errors due to the drift are inevitable. The orientation change of the accelerometer also causes error because the gravity is added to the measured acceleration. Unless three axis orientations are completely identified, the accelerometer alone does not provide correct acceleration for estimating the travel distance. We proposed a way of minimizing the error due to the change of the orientation. Pedestrian localization is implemented with the heading angle and the travel distance. Heading angle is estimated from the rate gyro and the magnetic compass measurements. The performance of the localization is presented with experimental data.

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      참고문헌 (Reference)

      1 이민영, "위치기반서비스를 위한 보행자의 위치추정" 한국차세대컴퓨팅학회 5 (5): 43-48, 2009

      2 이성호, "위치기반서비스 기술동향" 20 (20): 33-42, 2005

      3 Jeroen D. Holy, "Tightly Coupled UWB/IMU Pose Estimation" 2009

      4 J. Saarinen, "Personal navigation system" 212-217, 2004

      5 Raúl Feliz, "Pedestrian tracking using inertial sensors" 3 (3): 35-42, 2009

      6 L. Ojeda, "Non-GPS Navigation for Security Personnel and First Responders" 60 (60): 391-407, 2007

      7 Dorota A. Grejner-Brzezinska, "Multi-Sensor Personal Navigator Supported by Human Motion Dynamics Model" 2006

      8 M. Kourogi, "Indoor/Outdoor Pedestrian Navigation with an Embedded GPS/Self-contained Sensor System" 106 : 75-80, 2006

      9 Huisung Kim, "Indoor Pedestrian Localization System for Location based Service" 499-503, 2009

      10 S.H. Shin, "Adaptive step length estimation algorithm using low-cost MEMS inertial sensors" 2007

      1 이민영, "위치기반서비스를 위한 보행자의 위치추정" 한국차세대컴퓨팅학회 5 (5): 43-48, 2009

      2 이성호, "위치기반서비스 기술동향" 20 (20): 33-42, 2005

      3 Jeroen D. Holy, "Tightly Coupled UWB/IMU Pose Estimation" 2009

      4 J. Saarinen, "Personal navigation system" 212-217, 2004

      5 Raúl Feliz, "Pedestrian tracking using inertial sensors" 3 (3): 35-42, 2009

      6 L. Ojeda, "Non-GPS Navigation for Security Personnel and First Responders" 60 (60): 391-407, 2007

      7 Dorota A. Grejner-Brzezinska, "Multi-Sensor Personal Navigator Supported by Human Motion Dynamics Model" 2006

      8 M. Kourogi, "Indoor/Outdoor Pedestrian Navigation with an Embedded GPS/Self-contained Sensor System" 106 : 75-80, 2006

      9 Huisung Kim, "Indoor Pedestrian Localization System for Location based Service" 499-503, 2009

      10 S.H. Shin, "Adaptive step length estimation algorithm using low-cost MEMS inertial sensors" 2007

      11 P.L.Schneider, "Accuracy and Reliability of 10 Pedometers for Measuring Steps over a 400-m Walk" 35 (35): 1779-1784, 2003

      12 J. Won Kim, "A Step, Stride and Heading Determination for the Pedestrian Navigation System" 3 (3): 273-279, 2004

      13 Stephane Beauregard, "A Helmet-Mounted Pedestrian Dead Reckoning System" 79-89, 2006

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      학술지 이력

      학술지 이력
      연월일 이력구분 이력상세 등재구분
      2027 평가예정 재인증평가 신청대상 (재인증)
      2021-01-01 평가 등재학술지 유지 (재인증) KCI등재
      2018-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2015-01-01 평가 등재학술지 선정 (계속평가) KCI등재
      2013-01-01 평가 등재후보 1차 FAIL (등재후보1차) KCI등재후보
      2012-01-01 평가 등재후보 1차 PASS (등재후보1차) KCI등재후보
      2011-01-01 평가 등재후보학술지 유지 (등재후보1차) KCI등재후보
      2009-01-01 평가 등재후보학술지 선정 (신규평가) KCI등재후보
      2008-09-30 학회명변경 한글명 : 한국로봇공학회 -> 한국로봇학회
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      학술지 인용정보

      학술지 인용정보
      기준연도 WOS-KCI 통합IF(2년) KCIF(2년) KCIF(3년)
      2016 0.59 0.59 0.45
      KCIF(4년) KCIF(5년) 중심성지수(3년) 즉시성지수
      0.38 0.31 0.716 0.11
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