مهندسی مکانیک مدرس

مهندسی مکانیک مدرس

Extraction of Foot Anthropometric Dimensions Using a Markerless 3D Scanner Based on Big Data Analysis in East Azerbaijan Province

نوع مقاله : پژوهشی اصیل

نویسندگان
محمود آزغانی
الهام حضرتی
امین پرتوی فرد
ابوالفضل قدیمی
دانشگاه سهند
10.48311/mme.2025.11469
چکیده
Background

Anthropometry, the scientific discipline concerning precise human body measurements, plays a pivotal role across various industries, particularly in medical applications where accurate data are essential for prosthetic and orthotic design. Conventional anthropometric data acquisition methods are often time-intensive and costly. This study establishes a comprehensive anthropometric database of Iranian ethnic groups utilizing three-dimensional scanning technology coupled with a Python-based algorithm for markerless foot measurement.

Methods and Materials

This cross-sectional study was conducted at the Iranian Foot Anthropometry Research Center (Sahand University of Technology, Faculty of Biomedical Engineering). The study population comprised 4,312 participants (2,527 males and 1,785 females), aged 6 to 76 years (mean 36.35 ± 14.76) from East Azerbaijan Province. A Python program has been developed to extract 35 anthropometric foot indices from three-dimensional scans without the need for physical markers. For validation purposes, 400 participants were randomly selected for two-dimensional foot scanning, with five foot-length indices and two foot-width indices extracted from both two-dimensional and three-dimensional scans. An independent samples t-test was performed using SPSS 26 to assess measurement reliability.

Results

Statistical analysis revealed that all indices demonstrated P-values exceeding 0.05, confirming the reliability of data extracted by the Python algorithm and establishing the methodological robustness of the three-dimensional scanning approach.

Conclusion

This study successfully validates the reliability of a Python-based algorithm for extracting anthropometric foot indices from three-dimensional scans, providing an efficient and accurate tool for foot measurement in clinical and research applications

موضوعات

عنوان مقاله English

Extraction of Foot Anthropometric Dimensions Using a Markerless 3D Scanner Based on Big Data Analysis in East Azerbaijan Province

نویسندگان English

Mahmood Azghani
Elham Hazrati
Amin Partovi Fard
Abolfazl Gadimii
Sahand university of technology
چکیده English

Background

Anthropometry, the scientific discipline concerning precise human body measurements, plays a pivotal role across various industries, particularly in medical applications where accurate data are essential for prosthetic and orthotic design. Conventional anthropometric data acquisition methods are often time-intensive and costly. This study establishes a comprehensive anthropometric database of Iranian ethnic groups utilizing three-dimensional scanning technology coupled with a Python-based algorithm for markerless foot measurement.

Methods and Materials

This cross-sectional study was conducted at the Iranian Foot Anthropometry Research Center (Sahand University of Technology, Faculty of Biomedical Engineering). The study population comprised 4,312 participants (2,527 males and 1,785 females), aged 6 to 76 years (mean 36.35 ± 14.76) from East Azerbaijan Province. A Python program has been developed to extract 35 anthropometric foot indices from three-dimensional scans without the need for physical markers. For validation purposes, 400 participants were randomly selected for two-dimensional foot scanning, with five foot-length indices and two foot-width indices extracted from both two-dimensional and three-dimensional scans. An independent samples t-test was performed using SPSS 26 to assess measurement reliability.

Results

Statistical analysis revealed that all indices demonstrated P-values exceeding 0.05, confirming the reliability of data extracted by the Python algorithm and establishing the methodological robustness of the three-dimensional scanning approach.

Conclusion

This study successfully validates the reliability of a Python-based algorithm for extracting anthropometric foot indices from three-dimensional scans, providing an efficient and accurate tool for foot measurement in clinical and research applications

کلیدواژه‌ها English

Foot anthropometry
3D Scanning
Marker less method
Reliability
1. Large ARG, Heritage GL, Charlton ME. 16 Laser Scanning: The Future. Laser Scanning Environ Sci. 2009;262.
2. Raffaeli R, Germani M. Advanced computer aided technologies for design automation in footwear industry. Int J Interact Des Manuf. 2011;5(3):137–49.
3. Hajaghazadeh M, Emamgholizadeh Minaei R, Allahyari T, Khalkhali H. Anthropometric Dimensions of Foot in Northwestern Iran and Comparison with Other Populations. Heal Scope. 2018;7(3).
4. Melloni MAS, San-Martin JES, Barbeta CJ de O, Gonçalves EM, Guerra Júnior G. Anthropometric and Body Composition Variables As Risk Factors for Musculoskeletal Injureis in Athletes and Military Personnel: a Systematic Review. Rev Contemp. 2024;4(6):e4898.
5. Mickle KJ, Munro BJ, Lord SR, Menz HB, Steele JR. Foot shape of older people: Implications for shoe design. Footwear Sci. 2010;2(3):131–9.
6. Fu F, Luximon Y. A systematic review on ear anthropometry and its industrial design applications. Hum Factors Ergon Manuf. 2020;30(3):176–94.
7. Hong Y, Wang L. ANTROPOMETRIC FOOT MEASUREMENTS OF CHINESE ADULTS WITH DIFFERENT BMI.
8. Shariff SM, Manaharan T, Shariff AA, Merican AF. Evaluation of foot arch in adult women: Comparison between five different footprint parameters. Sains Malaysiana. 2017;46(10):1839–48.
9. Leite WK dos S, Araújo AJ da S, Norte da Silva JM, Gontijo LA, Vieira EM de A, Lopes de Souza E, et al. Risk factors for work-related musculoskeletal disorders among workers in the footwear industry: a cross-sectional study. Int J Occup Saf Ergon. 2021;27(2):393–409.
10. Lee YC, Lin G, Wang MJJ. Comparing 3D foot scanning with conventional measurement methods. J Foot Ankle Res. 2014;7(1):1–10.
11. Mortazavi SB, Kanani J, Khavanin A, Mirzaei R, Rasoolzadeh Y, Mansourizadeh M, et al. Foot Anthropometry by Digital Photography and the importance of its application in Boot Design. J Mil Med. 2008;10(1):69–80.
12. Rumbo-Rodríguez L, Sánchez-Sansegundo M, Ferrer-Cascales R, García-D’urso N, Hurtado-Sánchez JA, Zaragoza-Martí A. Comparison of body scanner and manual anthropometric measurements of body shape: A systematic review. Int J Environ Res Public Health. 2021;18(12):6213.
13. Hawes MR, Sovak D, Miyashita M, Kang SJ, Yoshihuku Y, Tanaka S. Ethnic differences in forefoot shape and the determination of shoe comfort. Ergonomics. 1994;37(1):187–96.
14. Hawes MR, Sovak D. Quantitative morphology of the human foot in a North american population. Ergonomics. 1994;37(7):1213–26.
15. Kouchi M. Foot dimensions and foot shape: Differences due to growth, generation and ethnic origin. Anthropol Sci. 1998;106(SUPPL.):161–88.
16. Krauss I, Grau S, Mauch M, Maiwald C, Horstmann T. Sex-related differences in foot shape. Ergonomics. 2008;51(11):1693–709.
17. Sacco R, Munoz MA, Billuart F, Lalevée M, Beldame J. Validation of an Automated Optical Scanner for a Comprehensive Anthropometric Analysis of the Foot and Ankle. Bioengineering. 2023;10(8):968.
18. BALLESTER A, PIEROLA A, PARRILLA E, IZQUIERDO M, URIEL J, NACHER B, et al. Fast, Portable and Low-Cost 3D Foot Digitizers: Validity and Reliability of Measurements. Proc 3DBODY TECH. 2017;218–25.
19. Telfer S, Woodburn J. The use of 3D surface scanning for the measurement and assessment of the human foot. J Foot Ankle Res. 2010;3(1):1–9.
20. Taha Z, Aris MA, Ahmad Z, Hassan MHA, Sahim NN. A low cost 3D foot scanner for custom-made sports shoes. Appl Mech Mater. 2013;440:369–72.
21. Chromy A, Zalud L. Robotic 3D scanner as an alternative to standard modalities of medical imaging. Vol. 3, SpringerPlus. 2014.
22. Haleem A, Javaid M. 3D scanning applications in medical field: A literature-based review. Clin Epidemiol Glob Heal. 2019;7(2):199–210.
23. Krejcie R V., Morgan DW. Determining Sample Size for Research Activities. Educ Psychol Meas. 1970;30(3):607–10.
24. Ghasemi P, V., Rezaei, R., Mohammadi Hosseini, M., Dasti Rassami, K., & Savari, M. 2015. "Examination of the relationship between internal longitudinal arch and some anthropometric measurements of the foot with dynamic balance. Applied Sports Physiology Research Journal, 11(21), pp. 23-36. (In Persian).
25. Masoumeh K, Seyyed Bagher M, Ali K, Ramazan M, Yahya R, Moharram M. Comparison of Foot Anthropometric Measuremeants in Two Digital and Manual Approaches. J ilam Univ Med Sci. 2008;16(3):1–10.
26. Mortazavi, B. S., Khavani, M., Mirzaei, R., & Rasoulzadeh, R. 2022. "Foot anthropometry using digital imaging method and its importance in boot design." *Military Medicine*, 10(1), pp. 69-80. (In Persian).
27. Hong Y, Wang L, Xu DQ, Li JX. Gender differences in foot shape: A study of Chinese young adults. Sport Biomech. 2011;10(2).
28. Saghazadeh M, Kitano N, Okura T. Gender differences of foot characteristics in older Japanese adults using a 3D foot scanner. J Foot Ankle Res. 2015;8(1).
29. Emamgholizadeh Minaei R, Hajaghazadeh M, Allahyari T, Khalkhali H, Keramat M. Anthropometric Dimensions of Foot in Students. J Ergon. 2016;4(1):28–38.
Ghasemi Paindehi, V., Vahid, R., Alizadeh Dashti Rastami, K., Savarolya, and Mahdieh, 2015. "Examination of the relationship between the internal longitudinal arch and some anthropometric measurements of the foot with dynamic balance." Applied Sports Physiology Research Journal, 11(21), pp. 23-36. (In Persian).
مهندسی مکانیک مدرس
دوره 25، شماره 3
اسفند 1403
صفحه 155-161