Motion Sensor Data Normalization Algorithm for Pedestrian Pattern Detection

보행 패턴 검출을 위한 동작센서 데이터 정규화 알고리즘

  • 김남진 (단국대학교 전자계산학과) ;
  • 홍주현 (단국대학교 전자계산학과) ;
  • 이태수 (충북대학교 의과대학 의공학교실)
  • Published : 2005.08.01


In this paper, three axial accelerometer was used to develop a small sensor module, which was attached to human body to calculate the acceleration in gravity direction by human motion, when it was positioned in any direction. To measure its wearer's walking or running motion using the sensor module, the acquired sensor data was pre-processed to enable its quantitative analysis. The acquired digital data was transformed to orthogonal coordinate value in three dimension and calculated to be single scalar acceleration data in gravity direction and normalized to be physical unit value. The normalized sensor data was used to detect walking pattern and calculate their step counts. Developed algorithm was implemented in the form of PDA application. The accuracy of the developed sensor to detect step count was about 97% in laboratory experiment.


Three Axial Accelerometer;Normalization;Walking;PDA(Personal Digital Assistants)