Journal of rehabilitation welfare engineering & assistive technology (재활복지공학회논문지)

Rehabilitation Engineering And Assistive Technology Society of Korea (한국재활복지공학회)
권호 표지

Step Count Detection Algorithm using Acceleration Sensor

가속도 센서를 이용한 걸음수 검출 알고리즘

  • 한영환 (상지대학교 컴퓨터정보공학부)
  • Received : 2015.08.05
  • Accepted : 2015.08.20
  • Published : 2015.08.31
Download PDF
⟨ Previous Next ⟩

Abstract

Portable devices, such as smart phones and personal digital assistants (PDAs) play an important role in our everyday life. In this paper, we propose a step count algorithm based on SVM(signal vector magnitude) and a adaptive threshold processing to monitor the physical activity. The algorithm measures a user's step counts using the smart phone's inbuilt accelerometer and g sensor. Experiment results showed the proposed algorithm has good performance in accuracy and adaptability than the app on your smart phone.

스마트 폰과 개인 휴대정보 단말기와 같은 장치는 일상생활에서 중요한 역할을 담당한다. 본 논문에서는 물리적 활동의 모니터링을 위해 신호벡터크기(signal vector magnitude)와 적응적인 임계값 처리에 기반한 걸음수 검출 알고리즘을 제안한다. 알고리즘은 스마트 폰에 내장된 가속도 센서와 중력 센서를 사용하여 걸음수를 측정한다. 실험결과 제안한 알고리즘이 스마트 폰의 어플에 비해 정확도와 적응성에서 좋은 성능을 나타내었다.

Keywords

References

  1. Thomas Olutoyin Oshin, Stefan Poslad, "ERSP : An Energy-efficient Real-time Smartphone Pedometer", 2013 IEEE International Conference on Systems, Man, and Cyber- netics, pp. 2067-2072, 2013.
  2. Y. W.Jang, B. M. Kim, S. B. Jang, Y. S. Shin, " Application of Euclidean Distance Similarity for Smartphone-Based Moving Context Determination," Journal of the Korea Industrial Information System Research, vol. 19, no. 4, pp. 53-63, 2014. https://doi.org/10.9723/JKSIIS.2014.19.4.053
  3. 유향미, 서재원, 차은종, 배현덕, "3축 가속도 센서를 이용한 보행 횟수 검출 알고리즘과 활동 모니터링," 한국콘텐츠학회논문지, vol. 8, no. 8, pp. 253-260, 2008. https://doi.org/10.5392/JKCA.2008.8.8.253
  4. 김윤경, 김성목, 노형석, 조위덕, "3축 가속도 센서를 이용한 실시간 걸음 수 검출 알고리즘," 한국 인터넷 정보학회, vol. 12, no. 3, pp. 17-26, 2011.
  5. Jun Yang, "Toward physical activity diary: motion recognition using simple acceleration features with mobile phones," Proceedings of the 1st international workshop on Interactive multimedia for consumer electronics, 2009.
  6. W. Shyi-Shiou and W. Hsin-Yi,"The Design of an Intelligent Pedometer Using Android," 2nd Int'l Conf. on Innovations in Bio-inspired Computing and Applications, pp. 313-315, 2011.
  7. W. Hongman, Z. Xiaocheng, and C. Jiangbo, "Acceleration and Orientation Multisensor Pedometer Application Design and Implementation on the Android Platform," 1st Int'l Conf. on Instrumentation, Measurement, Computer, Communication and Control, pp. 249-253, 2011.
  8. D. Sugimori, T. Iwamoto, and M. Matsumoto, "A Study about Identification of Pedestrian by Using 3-Axis Accelerometer," 17th Int'l Conf. on Embedded and Real-Time Computing Systems and Applications, pp. 134-137, 2011.
  9. A. Henpraserttae, S. Thiemjarus, and S. Marukatat, "Accurate Activity Recognition Using a Mobile Phone Regardless of Device Orientation and Location," Int''l Conf. on Body Sensor Networks, pp. 41-46, 2011.