The Journal of the Korea institute of electronic communication sciences (한국전자통신학회논문지)

Korea Institute of Electronic Communication Science (한국전자통신학회)
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A Way of Unusual Gait Cognition for Life Safety

생활안전 보장을 위한 보행자의 비정상 걸음 인지 방안

  • Kim, Su-Hee (Dept. of Computer Engineering, Hoseo University)
  • 김수희 (호서대학교 컴퓨터공학과)
  • Received : 2015.12.30
  • Accepted : 2016.02.24
  • Published : 2016.02.25
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Abstract

Research on gait recognition and its use is actively underway. This study suggests a method to recognize abnormal gaits of pedestrians. The purposes of the existing research to recognize normal steps are to measure physical activities and to validate people by their walks, but the purpose to recognize abnormal steps in this study is to insure the safe life of pedestrians. There are situations in which pedestrians are unaware of themselves vulnerable and can not ask for help. The purpose of this research is that even if pedestrians are unaware of themselves and there are no spontaneous requests for helps, it is intended for them to escape from dangers and difficulties by adopting the recent IOT technology. Hence, this study analyzes normal pace of pedestrians using the triaxial acceleration sensors, and takes ranges of their normal walking. And then, the steps of pedestrians are measured using the triaxial acceleration sensors, contrasted with their normal walking ranges, and determine whether their steps are normal or not. When it is out of the state for normal paces, a method to determine as abnormal paces is suggested.

걸음 인식과 그 활용에 대하여 연구가 활발하게 진행되고 있다. 본 연구는 보행자의 비정상적인 보행을 인식하는 방안을 제안한다. 기존의 정상적인 걸음을 인식하는 것이 신체활동을 측정하거나, 인증을 위한 것이었다면, 본 연구의 비정상적인 걸음 인지는 보행자의 생활안전 보장을 위한 것이다. 보행자가 스스로 자신의 취약한 상태를 인지하고 도움을 요청하지 못하는 상황이 있기 때문에, 근래의 IoT기술을 도입하여 본인의 인지와 자발적 도움 요청이 없더라도 위험과 어려움을 벗어날 수 있도록 하고자 함이다. 이에 본 연구는 3축 가속도 센서를 활용하여 보행자의 정상적인 걸음을 분석함으로써 정상적인 걸음이 유지되는 상태에 대한 범위를 정하고, 이후 3축 가속도 센서를 활용하여 걸음을 측정하여 그 결과를 정상적인 걸음 범위에 대조하여 정상과 비정상 여부를 판단하도록 한다. 정상적인 걸음을 유지하는 상태를 벗어날 때, 이를 비정상적인 걸음으로 인지하는 방안을 제안한다.

Keywords

References

  1. K. An, E. Kim, U. Ryu, and Y. Chang, "Implementation on SVM based Step Detection Analyzer," J. of Korea Multimedia Society, vol. 16, no. 10, 2013, pp. 1147-1155. https://doi.org/10.9717/kmms.2013.16.10.1147
  2. G. Ha, "Step Count Detection Algorithm Using a 3-Axial Accelerometer Sensor," Proc. of Korea Institute of Communication and Information Sciences, Seoul, Korea, Nov., 2012, pp. 151-152.
  3. C. Jeong, Y. Han, and T. Chung, "User Tracing Smart Segway Cart Using Step Pattern Recognition," Proc. of Korea Institute of Information Scientsts and Engineers, Pyeongchang, Korea, Dec., 2014, pp. 1360-1362.
  4. H. Woo, Y. Joo, S. Jang, and M. Choi, "Analysis about technology requirements for Development of Disaster Detecting Satellite Sensor," J. of the Korea Institute of Electronic Communication Sciences, vol. 10 no. 11, 2015, pp. 1205-1216. https://doi.org/10.13067/JKIECS.2015.10.11.1205
  5. B. Lee, "Adaptation of Customized Measurement of Stride Length in Smart Device," J. of the Korea Contents Association, vol. 13 no. 4, 2013, pp. 35-43. https://doi.org/10.5392/JKCA.2013.13.04.035
  6. D. Kim, S. Jeon, S. Kang, and N. Kim, "Customized Estimating Algorithm of Physical Activities Energy Expenditure using a Tri-axial Accelerometer," J. of Korea Contents Association'11, vol. 11 no. 12, 2011, pp. 103-111. https://doi.org/10.5392/JKCA.2011.11.12.103
  7. Y. Kim, S. Kim, H. Lho, and W. Cho, "Real-Time Step Count Detection Algorithm Using a Tri-Axial," J. of Korea Society for Internet Information, vol. 12, no. 3, 2012, pp.17-26.
  8. G. Heo, S. Yang, S. Lee, J. Lee, and C. Lee, "A Study on Particular Abnormal Gait Using Accelerometer and Gyro Sensor," J. of the Korean Society for Precision Engineering vol. 29, no. 11, 2011, pp. 1199-1206. https://doi.org/10.7736/KSPE.2012.29.11.1199
  9. B. Lee, S. Hong, H. Lee, and E. Kim, "Gait-based Human Identification System using Eigen feature Regularization and Extraction," J. of the Korean Institute of Intelligent Systems, vol. 21, no. 1, 2011, pp. 6-11. https://doi.org/10.5391/JKIIS.2011.21.1.6
  10. Y. Han, "Development of Gait Recognition System," J. of Rehabilitation Engineering and Assistive Technology Society of Korea, vol. 8, no. 2, 2014, pp. 133-138.
  11. Y. Kim, H. Lho, and W. Cho, "Step Count Detection Algorithm and Activity Monitoring System Using a Accelerometer," J. of the Institute of Electronic and Information Engineers, vol. 48 CI, no. 2, 2011, pp. 127-137.
  12. Y. Han, "Silhouette-based Gait Recognition using PBAS," J. of Korea Institute of Information Technology, vol. 12, no. 7, 2014, pp. 51-58.
  13. P. Jung, S. Lee, C. Song, and D. Kim, "Counting Walk-steps and Detection of Phone's Orientation/Position Using Inertial Sensors of Smartphones," J. of the Korean Institute of Information Scientists and Engineers, vol. 19, no. 1, 2013, pp. 46-50.
  14. K. Lee, H. Kim, and Y. Lee, "Model-based tracking for human posture estimation," Proc. of the Korea Human Computer Interaction Conf., Pyeongchang, Korea, Feb., 2006, pp. 1331-1334.
  15. S. Kim, J. Park, D. Kim, and N. Kim, "The Study of Realtime Fall Detection System with Accelerometer and Tilt Sensor," J. of the Korean Society for Precision Engineering, vol. 28, no. 11, 2011, pp. 1330-1338.
  16. B. Oh and Y. Choi "Stair Locomotion Method of Quadruped Robot Using Genetic Algorithm," J. of the Korea Institute of Electronic Communication Sciences, vol. 10 no. 9, 2015, pp. 1039-1048. https://doi.org/10.13067/JKIECS.2015.10.9.1039
  17. S. Park and S. Park, "Development and Verification of Zigbee-Based Monitoring and Control System for Electric Heat Tracing," J. of the Korea Institute of Electronic Communication Sciences, vol. 10 no. 12, 2015, pp. 1395-1402. https://doi.org/10.13067/JKIECS.2015.10.12.1395