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.
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Aaltonen, I., Ala-Kotila, P., Järnström, H., Laarni, J., Määttä, H., Nykänen, E., Schembri, I., Lönnqvist, A., Ruostela, J.: State-of-the-Art Report on Knowledge Work (2012)
Bangor, A., Kortum, P.T., Miller, J.T.: An empirical evaluation of the system usability scale. Int. J. Hum. Comput. Interact. 24(6), 574–594 (2008)
Braun, A., Frank, S., Wichert, R.: The capacitive chair. In: Streitz, N., Markopoulos, P. (eds.) DAPI 2015. LNCS, vol. 9189, pp. 397–407. Springer, Heidelberg (2015)
Braun, A., Heggen, H.: Context recognition using capacitive sensor arrays in beds. In: Proceedings AAL-Kongress (2012)
Braun, A., Heggen, H., Wichert, R.: CapFloor – a flexible capacitive indoor localization system. In: Chessa, S., Knauth, S. (eds.) EvAAL 2011. CCIS, vol. 309, pp. 26–35. Springer, Heidelberg (2012)
Braun, A., Wichert, R., Kuijper, A., Fellner, D.W.: Capacitive proximity sensing in smart environments. J. Ambient Intell. Smart Environ. 7(4), 483–510 (2015)
Brooke, J.: SUS-A quick and dirty usability scale. Usability Eval. Ind. 189(194), 4–7 (1996)
Davenport, T.H., Thomas, R.J., Cantrell, S.: The mysterious art and science of knowledge-worker performance. MIT Sloan Manag. Rev. 44(1), 23–30 (2012)
European Foundation for the Improvement of Living and Working Conditions: Employment trends and policies for older workers in the recession. Technical report (2011). http://ec.europa.eu/social/BlobServlet?docId=9590&langId=en
Griffiths, E., Saponas, T.S., Brush, A.J.B.: Health chair: implicitly sensing heart and respiratory rate. In: Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing - UbiComp 2014 Adjunct, pp. 661–671. ACM Press, New York, September 2014
Grosse-Puppendahl, T., Berghoefer, Y., Braun, A., Wimmer, R., Kuijper, A.: OpenCapSense: a rapid prototyping toolkit for pervasive interaction using capacitive sensing. In: 2013 IEEE International Conference on Pervasive Computing and Communications, PerCom 2013, pp. 152–159 (2013)
Große-Puppendahl, T.A., Marinc, A., Braun, A.: Classification of user postures with capacitive proximity sensors in AAL-environments. In: Keyson, D.V., et al. (eds.) AmI 2011. LNCS, vol. 7040, pp. 314–323. Springer, Heidelberg (2011)
Harada, T., Mori, T., Nishida, Y., Yoshimi, T., Sato, T.: Body parts positions and posture estimation system based on pressure distribution image. In: Proceedings 1999 IEEE International Conference on Robotics and Automation, vol. 2, pp. 968–975 (1999)
Liang, G., Cao, J., Liu, X., Han, X.: Cushionware: A practical sitting posture-based interaction system. In: CHI 2014 Extended Abstracts on Human Factors in Computing Systems, pp. 591–594 (2014)
McLean, L., Tingley, M., Scott, R.N., Rickards, J.: Computer terminal work and the benefit of microbreaks. Appl. Ergon. 32(3), 225–237 (2001)
Robertson, M., Amick III, B.C., DeRango, K., Rooney, T., Bazzani, L., Harrist, R., Moore, A.: The effects of an office ergonomics training and chair intervention on worker knowledge, behavior and musculoskeletal risk. Appl. Ergon. 40(1), 124–135 (2009)
Rus, S., Grosse-Puppendahl, T., Kuijper, A.: Recognition of bed postures using mutual capacitance sensing. AmI 2014. LNCS, vol. 8850, pp. 51–66. Springer, Heidelberg (2014)
Shirehjini, A.A.N., Yassine, A., Shirmohammadi, S.: Design and implementation of a system for body posture recognition. Multimedia Tools Appl. 70(3), 1637–1650 (2014)
Shotton, J., Fitzgibbon, A., Cook, M., Sharp, T., Finocchio, M., Moore, R., Kipman, A., Blake, A.: Real-time human pose recognition in parts from single depth images. Commun. ACM 56(1), 116–124 (2013)
Tan, H.Z., Slivovsky, L.A., Pentland, A., Member, S.: A sensing chair using pressure distribution sensors. IEEE/ASME Trans. Mechatron. 6(3), 261–268 (2001)
TriSun Software Inc.: PC Work Break (2015). http://www.trisunsoft.com/pc-work-break/
Valat, J.P., Goupille, P., Védere, V.: Low back pain: risk factors for chronicity. Revue du rhumatisme (English ed.) 64(3), 189–194 (1997)
Zemp, R., Taylor, W.R., Lorenzetti, S.: Are pressure measurements effective in the assessment of office chair comfort/discomfort? A review. Appl. Ergon. 48, 273–282 (2015)
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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Braun, A., Schembri, I., Frank, S. (2015). ExerSeat - Sensor-Supported Exercise System for Ergonomic Microbreaks. In: De Ruyter, B., Kameas, A., Chatzimisios, P., Mavrommati, I. (eds) Ambient Intelligence. AmI 2015. Lecture Notes in Computer Science(), vol 9425. Springer, Cham. https://doi.org/10.1007/978-3-319-26005-1_16
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DOI: https://doi.org/10.1007/978-3-319-26005-1_16
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