Exerseat - Sensor-supported exercise system for ergonomic microbreaks

Andreas Braun*, Ingrid Schembri, Sebastian Frank

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

14 Citations (Scopus)

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.

Original languageEnglish
Title of host publicationProceedings of Ambient Intelligence - 12th European Conference, AmI 2015
PublisherSpringer Verlag
Pages236-251
Number of pages16
Volume9425
ISBN (Print)9783319260044
DOIs
Publication statusPublished - 2015
MoE publication typeA4 Article in a conference publication
EventEuropean Conference on Ambient Intelligence - Athens, Greece
Duration: 11 Nov 201513 Nov 2015
Conference number: 12

Publication series

NameLecture Notes in Computer Science
Volume9425
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

ConferenceEuropean Conference on Ambient Intelligence
Abbreviated titleAml
CountryGreece
CityAthens
Period11/11/201513/11/2015

Keywords

  • Capacitive proximity sensing
  • Ergonomics
  • Microbreaks
  • New ways of working
  • Office exercise
  • Smart furniture
  • Wellbeing

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