PRE2019 3 Group6

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Introduction

Problem statement and objectives

Problem statement

Objectives

Approach, milestones and delivarables

Approach

Our approach is that we start gather information regarding our topic. With all this information we can select the best options for a good working place for different kind of situations. Then a concept for a good working place should be made. This contains a smart chair that can detect what position is best for a person, the lights of the room and screen must change automatically to create a good work environment.

Milestones

  • Evaluation of the influence of light on someone’s ability to concentrate, this contains the light of the room and the light of the computer screen.
  • Evaluation of the best working posture.
  • Choose the sensors that are needed to detect a person’s working posture.
  • Evaluation of the influence of music to a person.
  • If all the above described milestones are achieved then, a concept for the best possible workplace can be created.

Deliverables

  • This Wiki page containing all our research and findings.
  • A prototype if this is possible.
  • A presentation must be given at the end of the project


Planning

Stakeholders

Users

Society

Enterprise

State of the Art

Posture effect on performance

Posture plays an important role in performance. Poor posture can lead to worse task performance [1] while also adding stress to the spine and balance muscles [2].

Posture is also a tell-tale sign of engagement, it is even possible to estimate engagement purely on posture[3].

Currently it is possible to detect sitting posture using a regular office chair equipped with force transducers[4]. It is also possible to detect posture using mobile devices, which is more accurate but also more intrusive[5].

Using a posture assistance device, it is possible to correct posture and thereby improve performance, even in a dynamic environment, such as surgery [6].

In this paper research two groups were studied, symptomatic and asymptomatic office workers. All subjects demonstrated an 10% increase in forward head posture from their relaxed sitting postures with the computer display. No substantial evidence for posture changing over a working day was found. [7].

The high complained of musculoskeletal disorders is due to awkward postures, unsuitable workstation and lack of knowledge related to the areas to apply in everyday routine and it shows that working postures have a direct contribution on musculoskeletal disorders complained by the office workers in Putrajaya. [8].

Given the association between RULA (rapid upper limb assessment) score and the prevalence of the problems, reducing RULA score by designing ergonomic workstation may reduce the prevalence of WMSDs (work-related musculoskeletal disorders) among the workers. [9].

Computer use increases risk of developing musculoskeletal disorders. Such an increase is mediated by ergonomic factors such as mouse use, remaining seated for prolonged periods, adoption of inadequate or uncomfortable postures, performing certain PC tasks, and psychosocial factors. [10].

Group members

David van Son 1005864
Susanne Louvenberg 1238843
Jur Janssen 1247069
Bas Ohlen 0963529
Jeroen Meijs 1008703

Who is doing what

Week 1

Name Time spent Break-down
David 11 h Introductory lecture (2h), Brainstorm (1h), Studied papers [1-6] (4h), Wrote summary (1h), Group meeting (2h), formatting wiki page (1h)

References

  1. Straker, L. M., Pollock, C. M., & Mangharam, J. E. (1997). The effect of shoulder posture on performance, discomfort and muscle fatigue whilst working on a visual display unit. International Journal of Industrial Ergonomics, 20(1), 1-10. doi:10.1016/S0169-8141(96)00027-3
  2. Sahu, M., Alfred Sunny, K., Kumar, M. W., Baburao, G., & Gnanasaravanan, S. (2019). Effect of work postures on the musculoskeletal stresses on computer aided designers and office staff working on computer in india. International Journal of Scientific and Technology Research, 8(11), 1120-1123. Retrieved from www.scopus.com
  3. Nomura, K., Iwata, M., Augereau, O., & Kise, K. (2019). Estimation of student’s engagement based on the posture. Paper presented at the UbiComp/ISWC 2019- - Adjunct Proceedings of the 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2019 ACM International Symposium on Wearable Computers, 164-167. doi:10.1145/3341162.3343767 Retrieved from www.scopus.com
  4. Schrempf, A., Schossleitner, G., Minarik, T., Haller, M., & Gross, S. (2011). PostureCare - towards a novel system for posture monitoring and guidance. Paper presented at the IFAC Proceedings Volumes (IFAC-PapersOnline), , 44(1 PART 1) 593-598. doi:10.3182/20110828-6-IT-1002.02987 Retrieved from www.scopus.com
  5. Estrada, J. E., & Vea, L. A. (2016). Real-time human sitting posture detection using mobile devices. Paper presented at the Proceedings - 2016 IEEE Region 10 Symposium, TENSYMP 2016, 140-144. doi:10.1109/TENCONSpring.2016.7519393 Retrieved from www.scopus.com
  6. Karlovic, K., Pfeffer, S., Maier, T., Heidingsfeld, M., Ederer, M., & Sawodny, O. (2015). Effects on performance when using a posture assistance device – results of a usability evaluation in laboratory setting. Procedia Manufacturing, 3, 1395-1402. doi:10.1016/j.promfg.2015.07.301
  7. Szeto, G.P.Y., Straker, L., Raine, S. (2002). A field comparison of neck and shoulder postures in symptomatic and asymptomatic office workers
  8. Mansor, C.H.C, Zakaria, S.E., Dawal, S.Z.M. (2013). Investigation On Working Postures And Musculoskeletal Disorders Among Office Workers In Putrajaya
  9. Choobineh, A., Tabatabaei, S.H., Tozihian, M., Ghadami, F. (2007). Musculoskeletal problems among workers of an Iranian communication company
  10. Ortiz-Hernández, L., Tamez-González, S., Martínez-Alcántara, S., Méndez-Ramírez, I. (2003). Computer Use Increases the Risk of Musculoskeletal Disorders Among Newspaper Office Workers