Abstract
The ageing of working population is becoming a significant challenge that affects both the health and safety of workers and the productivity and competitiveness of companies.
The BIONIC project aims to develop a body sensor system to monitor the worker, in order to accurately obtain the level of risk associated with each of the tasks performed. The system consists of a platform for real-time risk alerting and continuous coaching, enabling the design of workplace interventions adapted to the needs and fitness levels of specific ageing workforce.
For the preparation of this system it has been necessary to develop a specific model for ergonomic evaluation and orientation, as the actual methods are not adapted to the specifics characteristics of older workers. This model has to consider both the changes related with age and the actual functional fitness of each individual worker, in order to develop an effective assessment system. To do that, we propose an individualized analysis that allows to compare the characteristics of the person with those of the job and, in this way, detect the degree of adjustment between both.
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Notes
- 1.
The project has received funding from the European Union’s Horizon 2020 research and in-novation program under grant agreement No826304.
References
Remesal, A.F., et al.: Ergo + 50: Ergonomic Assessment Methodology Aimed at Older Workers. In: Goossens, R.H.M., Murata, A. (eds.) AHFE 2019. AISC, vol. 970, pp. 27–36. Springer, Cham (2019). https://doi.org/10.1007/978-3-030-20145-6_3
Mattila, M., Karwowski, W., Vilkki, M.: Analysis of working postures in hammering tasks on building construction sites using the computerized OWAS method. Appl. Ergon. 24(6), 405–412 (1993). https://doi.org/10.1016/0003-6870(93)90172-6
Delleman, N.J., Dul, J.: International standards on working postures and movements ISO 11226 and EN 1005-4. Ergonomics 50(11), 1809–1819 (2007). https://doi.org/10.1080/00140130701674430
World Health Organization: World report on ageing and health. World Health Organization (2015)
Ergonomics and the Aging Workforce - How to Improve Workplace Design. ErgoPlus (2019)
Brunner, F., Schmid, A., Sheikhzadeh, A., Nordin, M., Yoon, J., Frankel, V.: Effects of aging on Type II muscle fibers: a systematic review of the literature. J. Aging Phys. Act. 15(3), 336–348 (2007). https://doi.org/10.1123/japa.15.3.336
Kowalski-, K.M., Steiner, L.J., Schwerha, D.J.: Safety considerations for the aging workforce. Saf. Sci. 43(10), 779–793 (2005). https://doi.org/10.1016/j.ssci.2005.08.014
Bittles, A.H., Collins, K.J.: The biology of human ageing. Cambridge University Press (1986). https://doi.org/10.1017/CBO9780511753350
Fozard, J.L.: Sensory and cognitive changes with age. Mobil. Transp. Elder. 1–61 (2000)
Silverstein, M.: Meeting the challenges of an aging workforce. Am. J. Ind. Med. 51(4), 269–280 (2008). https://doi.org/10.1002/ajim.20569
Menard, D., Stanish, W.D.: The aging athlete. Am. J. Sports Med. 17(2), 187–196 (1989). https://doi.org/10.1177/036354658901700208
Benjamin, K., Sally, W.: Facts and misconceptions about age, health status and employability. Health and Safety Laboratory Buxton, Derbyshire (2005)
Tuomi, K., Juhani, I., Antti, J., Lea, K., Arto, T.: Work ability index. Institute of Occupational Health Helsinki (1994)
Ferreras, A., et al.: Ergonomic adaptation of workplaces for people with disabilities: methodology and examples. In: Challenges for Assistive Technology. AAATE 2007 Conference Proceedings, pp. 136–140 (2007)
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Remesal, A.F., Pla, J.F.G., Mercé, P.C., Corresa, S.P., Roselló, R.M., Almenara, M.S. (2021). BIONIC: Custom Sensors for Risk Assessment and Training of Older Workers. In: Goonetilleke, R.S., Xiong, S., Kalkis, H., Roja, Z., Karwowski, W., Murata, A. (eds) Advances in Physical, Social & Occupational Ergonomics. AHFE 2021. Lecture Notes in Networks and Systems, vol 273. Springer, Cham. https://doi.org/10.1007/978-3-030-80713-9_34
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