IVABOT: AI Based Ergonomic Analysis

Öz

Ergonomics helps us to predict the problems that may arise in the long term by examining the effects of the working environment on people and determining the rules for working in the most efficient, safe, and healthy way without forcing them physically and mentally. Ergonomics analysis evaluates work environments and work processes to optimize employee safety, health, and performance. In a forward-looking approach, this study seeks to integrate artificial intelligence (AI) based vision to monitor employees and ensure adherence to ergonomic principles. By leveraging AI technology, the system can continuously assess an individual's posture and work habits. In instances where deviations from ergonomic norms are detected, the system intervenes by providing audible and visual warnings. This proactive mechanism not only aids in the real-time correction of posture-related issues but also serves as a preventative measure against potential long-term health concerns. By merging the insights of ergonomics with cutting-edge AI capabilities, this initiative strives to create a work environment that not only fosters efficiency but also prioritizes the well-being of employees, promoting a healthier and more sustainable approach to professional endeavors.

Anahtar Kelimeler

• AI
• Ergonomics
• Assistant Robot
• Vision
• Human Activity Recognition

Kaynakça

1. S. R. Kamat, N. E. N. Md Zula, N. S. Rayme, S. Shamsuddin, K. Husain, “The ergonomics body posture on repetitive and heavy lifting activities of workers in aerospace manufacturing warehouse”, IOP Conf. Series: Materials Science and Engineering, 210 (2017), DOI: 10.1088/1757-899X/210/1/012079.
2. S. Aytaç, A.F. Özok, N. Yamankaradeniz, A. Gökçe, G. Akalp, O. Çankaya, U. Tüfekci, “Metal sanayiinde çalisan kadinlarin ergonomik risk algisi: bir arastirma (Turkish) [Ergonomic risk perception of women working in the metal industry: a research],” Ergonomi, vol. 1, no. 1, pp. 29-38, 2018, DOI: https://doi.org/10.33439/ergonomi.473023
3. Z. Kirzioglu, C.Ç. Yetis, “Dis hekimligi kliniklerinde ergonomik düzenlemeler bölüm 1: dis hekimliginde ergonominin gelisimi ve ergonomik olmayan çalismalar sonucu olusan muskuloskeletal bozukluklar (Turkish) [Ergonomic regulations in dentistry clinics part 1: development of ergonomics in dentistry and musculoskeletal disorders resulting from non-ergonomic work],” Atatürk Üniversitesi Dis Hek. Fak. Derg, vol. 23, no. 3, pp. 414-420, 2013.
4. B. Y Dogan, K. Arslan, S. Kiliç, G.S. Arpaci, “Ofis tasariminda ergonomik kosullari saglanmasi-nin önemi (Turkish)[The importance of ergonomy in office design],” Ergonomi, vol. 5, no. 2, pp. 84-97, 2022, DOI: https://doi.org/10.33439/ergonomi.1111957.
5. J.E. Fernandez, "Ergonomics in the workplace", Facilities, Vol. 13 Iss 4 pp. 20 – 27, 1995.
6. H. Bas, F. Yapici, “Is istasyonlarinda çalisanlarda zorlanmaya neden olan duruslarin ergonomik açidan irdelenmesi: örnek uygulama (turkish) [ Ergonomic examination of postures that cause difficulty in workers at workstations: sample application],” Ergonomi, vol. 3, no. 3, pp. 128-137, 2020, DOI: https://doi.org/10.33439/ergonomi.789307
7. S. Hignett, L. McAtamney, “Rapid entire body assessment (REBA),” Applied Ergonomics, vol.31, pp. 201-205, 2000. DOI: 10.1016/s0003-6870(99)00039-3.
8. L. McAtamney, E. N. Corlett, “Rula: a survey method for the investigation of work-related upper limb disorders,” Applied ergonomics, vol. 24, pp. 91–99, 1993.

9. E. N. Corlett, R. Bishop, “A technique for assessing postural discomfort,” Ergonomics, vol. 19, no.2, pp. 175–182, 1976.
10. D. Knee, “Systematic comparison of OWAS, RULA, and REBA based on a literature review,” Int. J. Environ. Res. Public Health, vol. 19, no.595, pp. 1–23, 2022.
11. D. Kee, W. Karwowski, “A comparison of three observational techniques for assessing postural loads in industry,” Int. Journal of occupational safety and ergonomics, vol: 13, no.1, pp: 3–14, 2007.
12. S.-O Jeong, J. Kook, “CREBAS: Computer-Based REBA Evaluation System for Wood Manufacturers Using MediaPipe,” Appl. Sci. 2023, vol.13, no.938. DOI: https://doi.org/10.3390/app13020938.
13. A. S. Murugan, G. Noh, H. Jung, E. Kim, K. Kim, H. You, B. Boufama, “Optimising computer vision-based ergonomic assessments: sensitivity to camera position and monocular 3D pose model,” Ergonomics 2024, pp.1–18, DOI: https://doi.org/10.1080/00140139.2024.2304578.
14. D. Dluznevskij, P. Stefanovic ve S. Ramanauskaite, S. “Investigation of YOLOv5 efficiency in iPhone supported systems,” Baltic Journal of Modern Computing, vol. 9, no.3, pp. 333–344, 2021.
15. J.-W. Kim, J.-Y. Choi, E.-J. Ha, J.-H. Choi, “Human pose estimation using MediaPipe pose and optimization method based on a humanoid model,” Applied Sciences, vol. 13, no. 4, pp. 2700, 2023.
16. Ulugbey Tip Merkezi Physical Therapy Unit Exercise Videos [Online]. Available: https://www.youtube.com/watch?v=in00XpxKfuM.(accessed: 15.04.2024).
17. Asseco CEIT Workshop - Ergonomics [Online]. Available: https://www.asseco-ceit.com/sk/workshop-ergonomia-ako-nastroj-na-zvysenie-produktivity/.(accessed: 15.04.2024).