Research Article
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INVESTIGATION OF COMFORT ANGLES BY USING THE IMAGING METHOD

Year 2021, Volume 4, Issue 2, 97 - 106, 15.08.2021
https://doi.org/10.33439/ergonomi.959077

Abstract

With the development of highway networks and the increase in automotive use in our country and in the world, the time spent in automotive vehicles has increased compared to the past. Prolonged driving causes difficulties in the musculoskeletal system. Extensive literature conducted by automotive companies and academicians, aimed to improve product ergonomics, and increase the quality of life. These studies assessed comfort angles in automotive use and addressed driver comfort in high traffic. In our study, different body angles were examined by creating a skeleton model. This model represents automotive users who drive on a daily basis. Angles were calculated by BTS Bio-Engineering software. Four participants were chosen from a group of 30 drivers to represent diverse daily drivers. The study was conducted at the Mix Reality Lab of Oklahoma State University. Research findings indicate that there are strains in the lumbar spine (L4-L5), cervical spine (C6-C7), and that the comfort angles of female drivers are narrower than their male counterparts.

References

  • Andreoni, G., Rabuffetti, M., Pedotti, A., Quattrocolo, S., Cerrone, M., & Tarzia, A. (1999). Accessibility Simulation and Ergonomic Evaluation for Virtual Prototyping (No. 1999-01-1925). SAE Technical Paper.
  • Chaffin, D.B. & Andersson. G.B., (1991). Occupational Biomechanics. 2nd ed. Wiley, New York, USA.
  • DIN 33408-1:2008-03, Körperumrissschablonen - Teil 1: Für Sitzplätze
  • Eldem, C., Neslihan, T. O. P., Şahin, H. (2019). Dijital insan modelleri kullanarak otomobil sürücüsü duruş pozisyonlarının ergonomik değerlendirilmesi üzerine bir çalışma. Gazi Mühendislik Bilimleri Dergisi (GMBD), 5(1), 22-31.
  • Graf, M., Guggenbühl, U., Krueger, H. (1995). An assessment of seated activity and postures at five workplaces. International Journal of Industrial Ergonomics, 15(2), 81-90.
  • Grieco, A. (1998). Application of the concise exposure index (OCRA) to tasks involving repetitive movements of the upper limbs in a variety of manufacturing industries: preliminary validations. Ergonomics, 41(9), 1347-1356.
  • Guenaelle, P. (1995, March). One methodology to evaluate automotive seat comfort. In Proceedings of the Third International Conference on Vehicle Comfort and Ergonomics, Bologna, Italy (pp. 29-31).
  • Gyi, D. E., Porter, J. M., Robertson, N. K. (1998). Seat pressure measurement technologies: considerations for their evaluation. Applied Ergonomics, 29(2), 85-91. Huang, Y. H., Robertson, M. M. Chang, K. I., (2004). The role of environmental control on environmental satisfaction, communication, and psychological stress: effects of office ergonomics training. Environment and Behavior, 36(5), 617-637.
  • Kamp, I. (2012). The influence of car-seat design on its character experience. Applied ergonomics, 43(2), 329-335.
  • Kaya, Ö., Akalp, G. (2017). İş sağlığı ve güvenliği açısından elle taşıma işlerinin değerlendirilmesi (tekstil ve otomotiv sektörü örneği). Is, Güc: Endüstri Iliskileri ve Insan Kaynaklari Dergisi, 19(2), 79-90.
  • Kaya, Ö., Özok, A. F. (2017). Tasarımda antropometrinin önemi. Mühendislik Bilimleri ve Tasarım Dergisi, 5, 309-316.
  • Kuebler, T., Wirsching, H., Barnes, D. (2018). Ramsis-Digital Human Modeling for Optimized Safety and Survivability of the Warfighter.
  • Latko, W. A., Armstrong, T. J., Franzblau, A., Ulin, S. S., Werner, R. A. Albers, J. W., (1999). Cross‐Sectional Study Of The Relationship Between Repetitive Work and The Prevalence of Upper Limb Musculoskeletal Disorders. American Journal of İndustrial Medicine, 36(2), 248-259.
  • Lay, W. E., & Fisher, L. C. (1940). Riding comfort and cushions (No. 400171). SAE Technical Paper.
  • Mah, C.D., Hulliger, M., Lee, R.G. O’Callaghan, I., (1994). Quantitative Analysis Of Human Movement Synergies: Constructive Pattern Analysis for Gait. Journal of Motor Behavior, 26, 83–102.
  • Naddeo, A., Cappetti, N., Vallone, M., Califano, R. (2014). New trend line of research about comfort evaluation: proposal of a framework for weighing and evaluating contributes coming from cognitive, postural and physiologic comfort perceptions. In Advances in Social and Organizational Factors, Edited by Peter Vink, Published By “Advances in Human Factors and Ergonomics” Conference.
  • Park, W., Martin, B. J., Choe, S., Chaffin, D. B. Reed, M. P. (2005). Representing and Identifying Alternative Movement Techniques for Goal-Directed Manual Tasks. Journal of Biomechanics, 38(3), 519-527.
  • Schmidt, S., Amereller, M., Franz, M., Kaiser, R., Schwirtz, A. (2014). A literature review on optimum and preferred joint angles in automotive sitting posture. Applied ergonomics, 45(2), 247-260.
  • Seidl, A. (1997). RAMSIS-A new CAD-tool for ergonomic analysis of vehicles developed for the German automotive industry (No. 970088). SAE Technical Paper. Straker, L. & Mekhora, K. (2000). An Evaluation of Visual Display Unit Placement by Electromyography, Posture, Discomfort and Preference. International Journal of Industrial Ergonomics, 26(3), 389-398.
  • Vogt, C., Mergl, C., Bubb, H. (2005). Interior layout design of passenger vehicles with RAMSIS. Human Factors and Ergonomics in Manufacturing & Service Industries, 15(2), 197-212.
  • Zhang, X., & Chaffin, D. B. (1996, October). Task effects on three-dimensional dynamic postures during seated reaching movements: an analysis method and illustration. In Proceedings of the Human Factors and Ergonomics Society Annual Meeting (Vol. 40, No. 13, pp. 594-598). Sage CA: Los Angeles, CA: SAGE Publications.
  • Zhang, X., Nussbaum, M. A. Chaffin, D. B. (2000). Back Lift Versus Leg Lift: an Index and Visualization of Dynamic Lifting Strategies. Journal of Biomechanics, 33(6), 777-782.
  • Zhou, B., Chen, L., Tian, J., Peng, Z. (2017, June). Learning-based seat belt detection in image using salient gradient. In 2017 12th IEEE Conference on Industrial Electronics and Applications (ICIEA) (pp. 547-550). IEEE.

OTOMOTİV KULLANICILARINDA GÖRÜNTÜLEME YÖNTEMİ KULLANILARAK KONFOR AÇILARININ ARAŞTIRILMASI

Year 2021, Volume 4, Issue 2, 97 - 106, 15.08.2021
https://doi.org/10.33439/ergonomi.959077

Abstract

Ülkemizde ve Dünya’da karayolu ağlarının gelişmesi ve otomotiv kullanımının artmasıyla otomotiv içinde insanların geçirmiş olduğu süre geçmişe kıyasla daha da artmıştır. Otomotiv içinde geçirilen sürenin artması, kas ve iskelet sisteminde zorlanmaları da beraberinde getirmektedir. Literatür incelendiğinde otomotiv firmaları ve akademisyenler tarafından ürün ergonomilerini geliştirilmesi ve yaşam kalitesinin yükseltilmesi için yapılan pek çok çalışmaya rastlanılmaktadır. Bu çalışmalar, otomotiv kullanımında oturuştaki konfor açılarının hesaplanmasını ve kullanıcıların trafikte yola daha iyi hakim olmalarını hedeflemektedir. Bu çalışmada ise günlük hayattaki farklı senaryolar üzerinden, otomotiv kullanıcılarının oluşturduğu farklı vücut pozisyonlarının eklem açıları, kullanılan referans noktalarıyla yaratılan iskelet modeli üzerinden incelenmektedir. Açılar BTS Bio-Engineering vücut görüntüleme teknolojisi ile hesaplanmıştır. Çalışma kapsamında 4 adet otomotiv kullanıcısı 30 kişilik topluluk içinden seçilmiş ve seçilen kişilerin farklı grupları temsil etmesi hedeflenmiştir. Araştırma Oklahoma State Üniversitesi Mixed Reality Araştırma Lab.’da yapılmıştır. Araştırma bulgularına göre L4-L5 ve C6-C7 bölgesinde zorlanmalar olduğu ve kadın kullanıcıların otomotiv kullanması esnasında oluşan konfor açılarının erkek kullanıcılara göre daha dar açılar olduğu tespit edilmiştir.

References

  • Andreoni, G., Rabuffetti, M., Pedotti, A., Quattrocolo, S., Cerrone, M., & Tarzia, A. (1999). Accessibility Simulation and Ergonomic Evaluation for Virtual Prototyping (No. 1999-01-1925). SAE Technical Paper.
  • Chaffin, D.B. & Andersson. G.B., (1991). Occupational Biomechanics. 2nd ed. Wiley, New York, USA.
  • DIN 33408-1:2008-03, Körperumrissschablonen - Teil 1: Für Sitzplätze
  • Eldem, C., Neslihan, T. O. P., Şahin, H. (2019). Dijital insan modelleri kullanarak otomobil sürücüsü duruş pozisyonlarının ergonomik değerlendirilmesi üzerine bir çalışma. Gazi Mühendislik Bilimleri Dergisi (GMBD), 5(1), 22-31.
  • Graf, M., Guggenbühl, U., Krueger, H. (1995). An assessment of seated activity and postures at five workplaces. International Journal of Industrial Ergonomics, 15(2), 81-90.
  • Grieco, A. (1998). Application of the concise exposure index (OCRA) to tasks involving repetitive movements of the upper limbs in a variety of manufacturing industries: preliminary validations. Ergonomics, 41(9), 1347-1356.
  • Guenaelle, P. (1995, March). One methodology to evaluate automotive seat comfort. In Proceedings of the Third International Conference on Vehicle Comfort and Ergonomics, Bologna, Italy (pp. 29-31).
  • Gyi, D. E., Porter, J. M., Robertson, N. K. (1998). Seat pressure measurement technologies: considerations for their evaluation. Applied Ergonomics, 29(2), 85-91. Huang, Y. H., Robertson, M. M. Chang, K. I., (2004). The role of environmental control on environmental satisfaction, communication, and psychological stress: effects of office ergonomics training. Environment and Behavior, 36(5), 617-637.
  • Kamp, I. (2012). The influence of car-seat design on its character experience. Applied ergonomics, 43(2), 329-335.
  • Kaya, Ö., Akalp, G. (2017). İş sağlığı ve güvenliği açısından elle taşıma işlerinin değerlendirilmesi (tekstil ve otomotiv sektörü örneği). Is, Güc: Endüstri Iliskileri ve Insan Kaynaklari Dergisi, 19(2), 79-90.
  • Kaya, Ö., Özok, A. F. (2017). Tasarımda antropometrinin önemi. Mühendislik Bilimleri ve Tasarım Dergisi, 5, 309-316.
  • Kuebler, T., Wirsching, H., Barnes, D. (2018). Ramsis-Digital Human Modeling for Optimized Safety and Survivability of the Warfighter.
  • Latko, W. A., Armstrong, T. J., Franzblau, A., Ulin, S. S., Werner, R. A. Albers, J. W., (1999). Cross‐Sectional Study Of The Relationship Between Repetitive Work and The Prevalence of Upper Limb Musculoskeletal Disorders. American Journal of İndustrial Medicine, 36(2), 248-259.
  • Lay, W. E., & Fisher, L. C. (1940). Riding comfort and cushions (No. 400171). SAE Technical Paper.
  • Mah, C.D., Hulliger, M., Lee, R.G. O’Callaghan, I., (1994). Quantitative Analysis Of Human Movement Synergies: Constructive Pattern Analysis for Gait. Journal of Motor Behavior, 26, 83–102.
  • Naddeo, A., Cappetti, N., Vallone, M., Califano, R. (2014). New trend line of research about comfort evaluation: proposal of a framework for weighing and evaluating contributes coming from cognitive, postural and physiologic comfort perceptions. In Advances in Social and Organizational Factors, Edited by Peter Vink, Published By “Advances in Human Factors and Ergonomics” Conference.
  • Park, W., Martin, B. J., Choe, S., Chaffin, D. B. Reed, M. P. (2005). Representing and Identifying Alternative Movement Techniques for Goal-Directed Manual Tasks. Journal of Biomechanics, 38(3), 519-527.
  • Schmidt, S., Amereller, M., Franz, M., Kaiser, R., Schwirtz, A. (2014). A literature review on optimum and preferred joint angles in automotive sitting posture. Applied ergonomics, 45(2), 247-260.
  • Seidl, A. (1997). RAMSIS-A new CAD-tool for ergonomic analysis of vehicles developed for the German automotive industry (No. 970088). SAE Technical Paper. Straker, L. & Mekhora, K. (2000). An Evaluation of Visual Display Unit Placement by Electromyography, Posture, Discomfort and Preference. International Journal of Industrial Ergonomics, 26(3), 389-398.
  • Vogt, C., Mergl, C., Bubb, H. (2005). Interior layout design of passenger vehicles with RAMSIS. Human Factors and Ergonomics in Manufacturing & Service Industries, 15(2), 197-212.
  • Zhang, X., & Chaffin, D. B. (1996, October). Task effects on three-dimensional dynamic postures during seated reaching movements: an analysis method and illustration. In Proceedings of the Human Factors and Ergonomics Society Annual Meeting (Vol. 40, No. 13, pp. 594-598). Sage CA: Los Angeles, CA: SAGE Publications.
  • Zhang, X., Nussbaum, M. A. Chaffin, D. B. (2000). Back Lift Versus Leg Lift: an Index and Visualization of Dynamic Lifting Strategies. Journal of Biomechanics, 33(6), 777-782.
  • Zhou, B., Chen, L., Tian, J., Peng, Z. (2017, June). Learning-based seat belt detection in image using salient gradient. In 2017 12th IEEE Conference on Industrial Electronics and Applications (ICIEA) (pp. 547-550). IEEE.

Details

Primary Language Turkish
Subjects Engineering, Multidisciplinary
Journal Section Articles
Authors

Onur ÜLKER (Primary Author)
ESKİŞEHİR TEKNİK ÜNİVERSİTESİ
0000-0002-8108-6269
Türkiye


Mehmet Ali ALTİN
ESKİŞEHİR TEKNİK ÜNİVERSİTESİ
0000-0001-8992-7088
Türkiye


Mercan HADDAD DERAFSHİ
University of Tennessee at Martin
0000-0001-8887-2185
United States

Supporting Institution Oklahoma State Universitesi
Project Number 2219
Thanks Çalışmamızın görüntüleme yöntemi analizi kısmının yapılması aşamasında, Oklahoma State Universitesi OSU- Mixed Reality Laboratuvarını kullanma imkanı sundukları için İnsan Bilimleri Fakültesi yönetimine teşekkür ederiz.
Publication Date August 15, 2021
Application Date June 29, 2021
Acceptance Date August 11, 2021
Published in Issue Year 2021, Volume 4, Issue 2

Cite

APA Ülker, O. , Altin, M. A. & Haddad Derafshi, M. (2021). OTOMOTİV KULLANICILARINDA GÖRÜNTÜLEME YÖNTEMİ KULLANILARAK KONFOR AÇILARININ ARAŞTIRILMASI . Ergonomi , 4 (2) , 97-106 . DOI: 10.33439/ergonomi.959077

The journal is published three times a year (April, August and December). In addition to these issues, with the decision of the Editorial Board, the papers presented at the National Ergonomics Congress can be published as "Special Issue".