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Evaluation of Neck Motion Due to Change in Working Velocity Based on Feature Extraction with Motion Division

  • Kazuki Hiranai
  • Atsushi Sugama
  • Takanori Chihara
  • Akihiko Seo
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 824)

Abstract

In recent year, the evaluation method of human motion to clarify the usability is needed because it is a hard task to assess the subjective evaluation of usability of product and the comfort of the environment. This study aimed to analyze neck motion using feature extraction with motion division and clarify the relationship between neck motion and workability. We propose the motion division method based on the calculation of probability density function from the Gaussian distribution. The algorithm being proposed uses the analysis of the measured data by an experiment. As part of the experiment, each participant was instructed to gaze at a target while in the sitting posture. The working posture of each participant was measured to evaluate the effects of working velocity on the position of the target. The numbers of extracted feature point decreased with the decreasing working velocity. The normal working velocity condition maximized the number of extracted feature points. Moreover, participants answered the best subjective workability under normal conditions. These results show that increasing the number of extracted feature points may improve workability.

Keywords

Motion division method Feature extraction Workability evaluation 

Notes

Acknowledgment

This work was supported by JSPS KAKENHI Grant Number JP16K01247.

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Kazuki Hiranai
    • 1
  • Atsushi Sugama
    • 2
  • Takanori Chihara
    • 3
  • Akihiko Seo
    • 4
  1. 1.Graduate School of System DesignTokyo Metropolitan UniversityHinoJapan
  2. 2.Center for Risk Management ResearchNational Institute of Occupational Safety and HealthKiyoseJapan
  3. 3.Institute for Frontier Science InitiativeKanazawa UniversityKanazawaJapan
  4. 4.Faculty of System DesignTokyo Metropolitan UniversityHinoJapan

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