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ExerSeat - Sensor-Supported Exercise System for Ergonomic Microbreaks

  • Andreas Braun
  • Ingrid Schembri
  • Sebastian Frank
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9425)

Abstract

The percentage of older adult workers in Europe has been increasing in the last decades. They are an important part of the work force, highly experienced and often hard to replace. However, their productivity can be affected by health problems, such as lower back pain. This increases the cost for employers and reduces the quality of life of the office workers. Knowledge workers that spend a large part of their day in front of a screen are particularly affected by pack pain. Regular exercise can help to mitigate some of these issues. This training can be performed in microbreaks that are taken at regular intervals during the work day. In this work we present ExerSeat, a combination of a smart sensing chair that uses eight capacitive proximity sensors to precisely track the posture of persons on or near an office chair. It is augmented by a desktop training software that is able to track exercises and training units during microbreaks, by analyzing frequency and form. We have performed a pilot over eight weeks with ten office workers. They performed training units at regular intervals during their work day. We report on the findings.

Keywords

Smart furniture Capacitive proximity sensing Office exercise Microbreaks Ergonomics New Ways of Working Well-being 

Notes

Acknowledgments

We would like to extend our gratitude to the Operations Support Services Unit volunteers at VTT Espoo for participating in our pilot, providing detailed feedback and to their management for allowing our minor intervention to their daily office routine. This work was supported by EIT Digital under the project number SSP14267.

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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  • Andreas Braun
    • 1
  • Ingrid Schembri
    • 2
  • Sebastian Frank
    • 3
  1. 1.Fraunhofer Institute for Computer Graphics Research IGDDarmstadtGermany
  2. 2.Department of Industrial Engineering & ManagementAalto UniversityEspooFinland
  3. 3.RheinMain University of Applied SciencesMainzGermany

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