The Journal of The Korea Institute of Intelligent Transport Systems (한국ITS학회 논문지)

The Korea Institute of Intelligent Transport Systems (한국ITS학회)
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A New Arm Swing Walking Pattern-based Walking Safety System

새로운 팔 스윙 보행 패턴 기반 보행 안전 시스템

  • Received : 2020.06.29
  • Accepted : 2020.11.19
  • Published : 2020.12.31
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Abstract

In this paper, we propose a new arm swing walking pattern-based walking safety system for safe walking of elderly pedestrians. The proposed system is a walking safety system for elderly pedestrians using haptic-based devices such as smart bands and smart watches, and arm swing-based walking patterns to solve the problem that it is difficult to recognize the fall situation of pedestrians with the existing walking patterns of lower limb movements. Use. The arm swing-based walking pattern recognizes the number of steps and the fall situation of pedestrians through the swing of the arm using the acceleration sensor of the device, and creates a database of the location of the fall situation to warn elderly pedestrians when walking near the expected fall location. It delivers a message to provide pedestrian safety to the elderly. This system is expected to improve the safe walking rights and environment of the elderly.

본 논문에서는 고령 보행자의 안전한 보행을 위한 새로운 팔 스윙 보행 패턴 기반 보행안전 시스템을 제안한다. 제안한 시스템은 스마트 밴드, 스마트 워치 등 햅틱 기반의 디바이스를 활용한 고령 보행자용 보행 안전 시스템으로 기존의 하지 운동의 보행 패턴으로 보행자의 낙상 상황을 인지하기 어려운 문제점을 해결하기 위해 팔 스윙 기반의 보행 패턴을 활용한다. 팔 스윙 기반 보행 패턴은 디바이스의 가속도 센서를 이용한 팔의 스윙을 통해 걸음수 및 보행자의 낙상 상황을 인지하며 낙상 상황이 발생하는 위치를 데이터베이스화하여 고령 보행자에게 낙상 발생 예상 위치 근처를 보행할 시 경고 메시지를 전달하여 고령자에게 보행 안전을 제공한다. 이러한 시스템을 통해 고령자의 안전한 보행 권리 및 환경 개선할 수 있을 것으로 기대한다.

Keywords

References

  1. Arcolin I., Corna S., Giardini M., Giordano A., Nardone A. and Godi M.(2019), "Proposal of a new conceptual gait model for patients with Parkinson's disease based on factor analysis," BioMedical Engineering Online, vol. 18, no. 1, pp.1-70. https://doi.org/10.1186/s12938-018-0620-3
  2. Ball K. and Owsley C.(2000), "Increasing Mobility and Reducing Accidents of Older Drivers," Mobility and Transportation in the Elderly, Springer Series Societal.
  3. Im I. J. and Kim Y.(2020), "A Study on Social Perception on the Regulatory Information Service Diffusion of Traffic Facilities," The Journal of the Korea Institute of Intelligent Transport Systems, vol. 19, pp.1-17. https://doi.org/10.12815/kits.2020.19.6.1
  4. Ka D. H., Lee D. H. and Yeo H. S.(2019), "Development of Predictive Pedestrian Collision Warning Service Considering Pedestrian Characteristics," The Korea Institute of Intelligent Transport Systems, vol. 18, no. 3, pp.68-83. https://doi.org/10.12815/kits.2019.18.3.68
  5. Kim J. H. and Lee M. Y.(2016), "Integration of Space Syntax Theory and Logit Model for Walkability Evaluation in Urban Pedestrian Networks," The Korea Institute of Intelligent Transport Systems, vol. 15, no. 5, pp.62-70.
  6. Ministry of Land, Transport and Maritime Affairs(2011), Research for pedestrian traffic survey and establishing improvement index.
  7. Roh C. G., Park B. J., Moon B. S. and Kim J. S.(2015), "Classification of Walking Capability of the Elderly and Analysis of Characteristics for Each Class," Journal of Science and Technology, vol. 5, no. 5, pp.262-267.
  8. Ryu U. J., Kim E. T., An K. H. and Chang Y. S.(2013), "Accuracy Improvement Methode of Step Count Detection Using Variable Amplitude Threshold," Korea Information Processing Society, vol. 2, pp.257-264.
  9. Statistical Geographic Information Service System DB(2020).