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Research on Office Chair Based on Modern Office Posture

  • Xinxin SunEmail author
  • Xiaoyan Lan
  • Di Zhou
  • Bin Jiang
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10902)

Abstract

The office sitting position of the staff is closely related to the design of the office chair. We use the dynamic capture system of Microsoft Kinect sensor to study office sitting posture, in order to capture sitting posture and form three-dimensional coordinate data and RGB images, and then with the help of GBR and FCM methods to cluster Kinect data in MTATLAB data analysis software, getting the average sitting posture and sitting position type and transformation rules. The results show that there are four types of office posture. The data shows that these four types of postures can be divided into skill posture, adaptive posture and initiative attitude, and then analyzed corresponding task scene, office tasks and office equipment. Category 1 posture scenario is using computer, which belongs to the skill posture. Category 2 posture scene is mobile working, which is initiative attitude; Category 3 posture scene is to talking on the phone, belonging to the adaptive posture; Category 4 pose is a rest scene, belonging to the adaptive posture. The time of Category 1 of changing sitting position is 11.6 min; The time of Category 2 of changing sitting position is 13.7 min; the time of Category 3 of changing sitting position is 2.8 min; the time of Category 4 of changing sitting position is 17.2 min.

Keywords

Behavior clustering Sitting posture Kinect sensor Office chair 

Notes

Acknowledgement

The authors are grateful for the financial support provided by “The general project of Humanities and social sciences of Ministry of Education” (17YJA760022).

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Copyright information

© Springer International Publishing AG, part of Springer Nature 2018

Authors and Affiliations

  1. 1.School of Design Arts & MediaNanjing University of Science and TechnologyNanjingChina

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