Analyzing Mowing Behaviors on Sloping Land via Motion Capture Device

Bo Wu, Yuan Wu, Yoko Aoki, Shoji Nishimura, Masayuki Kashiwagi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

As the aging and depopulation in Japan's rural areas continues to increase, many manual lawn mowing jobs have been handed to senior citizens. However, mowing with an incorrect posture may unduly burden the body, and even lead to a fall or slip. In this paper, we focus on the motions involved in lawn mowing, design and execute a set of experiments to collect data on the worker's body while mowing on a slope by using a motion capture device, and use regression analysis to identify the relationship between the angles of the subject's joints and the angle of the slope/inclined plane. The results of an analysis of 9,600 items of motion-related data show that all the angles considered, excluding angles of the subject's right elbow and right wrist, were related to the angle of the inclined plane. The findings of the work here can provide guidelines for preventing accidents in the design of mowing assistance systems and offers useful insights for training workers for mowing.

Original languageEnglish
Title of host publicationProceedings - IEEE 18th International Conference on Dependable, Autonomic and Secure Computing, IEEE 18th International Conference on Pervasive Intelligence and Computing, IEEE 6th International Conference on Cloud and Big Data Computing and IEEE 5th Cyber Science and Technology Congress, DASC/PiCom/CBDCom/CyberSciTech 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages406-409
Number of pages4
ISBN (Electronic)9781728166094
DOIs
Publication statusPublished - 2020 Aug
Event18th IEEE International Conference on Dependable, Autonomic and Secure Computing, 18th IEEE International Conference on Pervasive Intelligence and Computing, 6th IEEE International Conference on Cloud and Big Data Computing and 5th IEEE Cyber Science and Technology Congress, DASC/PiCom/CBDCom/CyberSciTech 2020 - Virtual, Calgary, Canada
Duration: 2020 Aug 172020 Aug 24

Publication series

NameProceedings - IEEE 18th International Conference on Dependable, Autonomic and Secure Computing, IEEE 18th International Conference on Pervasive Intelligence and Computing, IEEE 6th International Conference on Cloud and Big Data Computing and IEEE 5th Cyber Science and Technology Congress, DASC/PiCom/CBDCom/CyberSciTech 2020

Conference

Conference18th IEEE International Conference on Dependable, Autonomic and Secure Computing, 18th IEEE International Conference on Pervasive Intelligence and Computing, 6th IEEE International Conference on Cloud and Big Data Computing and 5th IEEE Cyber Science and Technology Congress, DASC/PiCom/CBDCom/CyberSciTech 2020
CountryCanada
CityVirtual, Calgary
Period20/8/1720/8/24

Keywords

  • motion capture
  • mowing-related behavior
  • preventing accident; elderly support

ASJC Scopus subject areas

  • Information Systems and Management
  • Computer Science (miscellaneous)
  • Artificial Intelligence
  • Computer Networks and Communications
  • Computer Science Applications
  • Safety, Risk, Reliability and Quality
  • Control and Optimization
  • Modelling and Simulation

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