Anthropometry of the Hand and Product Design
Moustafa, A., Gharib, I. (2024). Anthropometry of the Hand and Product Design. EKB Journal Management System, 14(6), 21-39. doi: 10.21608/idj.2024.378407
Ahmed Waheed Moustafa; Islam Gharib. "Anthropometry of the Hand and Product Design". EKB Journal Management System, 14, 6, 2024, 21-39. doi: 10.21608/idj.2024.378407
Moustafa, A., Gharib, I. (2024). 'Anthropometry of the Hand and Product Design', EKB Journal Management System, 14(6), pp. 21-39. doi: 10.21608/idj.2024.378407
Moustafa, A., Gharib, I. Anthropometry of the Hand and Product Design. EKB Journal Management System, 2024; 14(6): 21-39. doi: 10.21608/idj.2024.378407

Anthropometry of the Hand and Product Design

International Design Journal
Article 2, Volume 14, Issue 6 - Serial Number 64, November and December 2024, Page 21-39  XML PDF (1.93 MB)
Document Type: Original Article
DOI: 10.21608/idj.2024.378407
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Authors
Ahmed Waheed Moustafaorcid 1; Islam Gharib2, 3
1Faculty of Applied Arts, Helwan University, Orman Giza
2Assistant Professor, Faculty of Applied Arts, Helwan University
3Assistant Professor, School of Applied Arts, Badr University in Cairo
Abstract
Statement of the problem: Given the importance of the hand in many tasks requiring the manipulation of objects, the information gathered in this study may help in the development of a human hand anthropometric model that is simple and straightforward to use for all product designers. A set of key anthropometric characteristics that are pertinent to the creation and design of human digital models have been suggested by recent research. Nevertheless, there is a severe absence of the dimensions of available data that allow designers to operate as effectively and efficiently as possible. Designing consumer goods for commercial usage has been incredibly slow when it comes to user anthropometry research. Objective: The purpose of this study is to define, characterize, and illustrate hand measurements and their implications and associations for product design. In order to facilitate a better knowledge of hand dimensions and their relationships, the study has also examined the anatomy and structure of the human hand for employing real key measurements and parameters. Therefore, a prevalent study has been dedicated to anthropometric data collection methods covering from traditional to most sophisticated techniques. For convenience and preference, it also creates a link between user and product sizes. Furthermore, it draws implications for design that are particular to user groups, generalizes these implications for a range of goods, and illustrates these implications throughout the product development cycle. Methodology: The study employed both analytical descriptive and deductive approach in order to developing a product design criterion based on and implementing hand anthropometry. Results: A summary of all the variables linking hand anthropometry to product design and potential future developments in this area concludes the study. Product designers should be able to readily match product interfaces with human capabilities and competencies thanks to the data sets offered and comparisons made.
Keywords
Hand Anthropometry; Hand Anatomy; Product Design; Photogrammetry; 3D Body Scanning
Supplementary Files
References
  1. Albin, T. & Molenbroek, J. (2023). Introduction to the Special Issue, Anthropometry in Design. Ergonomics in Design. [Source]
  2. Ashdown, S. P. (2020). Full body 3-D scanners. Anthropometry in Anthropometry, Apparel Sizing and Design (Second Edition), The Textile Institute Book Series, Pages 145-168
  3. Babapour Chafi, M., Hultberg, A., & Bozic Yams, N. (2021). Post-pandemic office work: Perceived challenges and opportunities for a sustainable work environment. Sustainability. [Source]
  4. Bartol, K., Bojanić, D., Petković, T., & Pribanić, T. (2021). A review of body measurement using 3D scanning. Ieee Access. [Source]
  5. Bridger, Robert, (2018), Introduction to human factors and ergonomics, Fourth edition, Boca Raton,  Taylor & Francis, CRC Press.
  6. Bruno, F., Barbieri, L., & Muzzupappa, M. (2020). A Mixed Reality system for the ergonomic assessment of industrial workstations. International Journal on Interactive Design and Manufacturing (IJIDeM), 14(3), 805-812. [ Source]
  7. Cappa, F., Oriani, R., Peruffo, E., & McCarthy, I. (2021). Big data for creating and capturing value in the digitalized environment: unpacking the effects of volume, variety, and veracity on firm performance. Journal of Product Innovation Management, 38(1), 49-67. [ Source]
  8. Capsi-Morales, P., Grioli, G., Piazza, C., Bicchi, A., & Catalano, M. G. (2020). Exploring the role of palm concavity and adaptability in soft synergistic robotic hands. IEEE Robotics and Automation Letters, 5(3), 4703-4710. [Source]
  9. Choong, S.W.J.; Ng, P.K.; Yeo, B.C.; Draghici, A.; Gaureanu, A.; Ng, Y.J.; Wong, G.M.H.; Selvan, H.K.T. A Preliminary Study on Ergonomic Contribution to the Engineering Design Approach of a Wheel Loader Control Lever System. Sustainability 2022, 14, 122. https://doi.org/10.3390/su14010122
  10. 10.  Chow, L. (2022). Finite element model for design of pressure therapy gloves for hypertrophic scars. [Source]
11. Cotes, J. E. (2020). Body Size and Anthropometric Measurements, Wiley Research, https://doi.org/10.1002/9781118597309.ch4

12. Cross, N. (2021). Engineering design methods: strategies for product design. [Source]

13. da Silva, A. G., Winkler, I., Gomes, M. M., & Pinto, U. D. M. (2020,). Ergonomic analysis supported by virtual reality: a systematic literature review. In 2020 22nd Symposium on Virtual and Augmented Reality (SVR) (pp. 463-468). IEEE. [Source]

14. Daruis, D. D. I., Khamis, N. K., & Deros, B. M. (2021). The hand–the basic anthropometry. Human Factors and Ergonomics Journal (HFEJ), Vol. 6(2): 49 – 55

15. Dimitrijevic, M., Lalovic, D., & Milovanov, D. (2021). Correlation of different anthropometric methods and bioelectric impedance in assessing body fat percentage of professional male athletes. Experimental and Applied Biomedical Research (EABR). [Source]

16. Dunai, L., Novak, M., & García Espert, C. (2020). Human hand anatomy-based prosthetic hand. Sensors. [Source]

17. Ferrari, R., Lachs, L., Pygas, D. R., Humanes, A., Sommer, B., Figueira, W. F., ... & Guest, J. R. (2021). Photogrammetry as a tool to improve ecosystem restoration. Trends in Ecology & Evolution, 36(12), 1093-1101. [ Source]

18. Fulton, P. V., Löhlein, S., Paredes-Acuña, N., Berberich, N., & Cheng, G. (2021, December). Wrist exoskeleton design for pronation and supination using mirrored movement control. In 2021 20th International Conference on Advanced Robotics (ICAR) (pp. 575-580). [Source]

  1. 19.  Gupta, Deepti. (2020). New directions in the field of anthropometry, sizing and clothing fit, in Anthropometry, Apparel Sizing and Design (Second Edition), The Textile Institute Book Series, Pages 3-27
20. Hajaghazadeh, M., Taghizadeh, M., Mohebbi, I., & Khalkhali, H. (2022). Hand anthropometric dimensions and strengths in workers: A comparison of three occupations. Human Factors and Ergonomics in Manufacturing & Service Industries, 32(5), 373-388. [Source]

21. John D. Lee, Christopher D. Wickens, Yili Liu, Linda Ng Boyle (2017), Designing for People: An Introduction to Human Factors Engineering, 3rd Edition, Create Space Charleston, SC, ISBN-10: 1539808009.

22. Kaewdok, T., Sirisawasd, S., Norkaew, S., & Taptagaporn, S. (2020). Application of anthropometric data for elderly-friendly home and facility design in Thailand. International Journal of Industrial Ergonomics, 80, 103037. [ Source]

23. Kamariotou, V., Kamariotou, M., & Kitsios, F. (2021). Strategic planning for virtual exhibitions and visitors’ experience: A multidisciplinary approach for museums in the digital age. Digital Applications in Archaeology and Cultural Heritage, 21, e00183. [Source]

24. Kashef, S. R., Amini, S., & Akbarzadeh, A. (2020). Robotic hand: A review on linkage-driven finger mechanisms of prosthetic hands and evaluation of the performance criteria. Mechanism and Machine Theory. [Source]

25. Kelkanlo, R., Kouhnavard, B., & Falaki, S. H. (2020). Investigating Hand Anthropometric Dimensions-A Case Study on Office Personnel and Car Mechanics. International Journal of Occupational Hygiene, 12(3), 180-191.  [Source]

26. Kivell, T. L., Ostrofsky, K. R., Richmond, B. G., & Drapeau, M. S. (2020). Metacarpals and manual phalanges. Hominin Postcranial Remains from Sterkfontein, South Africa, 1936-1995, 106. [Source]

27. Kuo, C. C., Kung, H. Y., Wu, H. C., & Wang, M. J. (2023). Developing a hand sizing system for a hand exoskeleton device based on the Kansei Engineering method. Journal of Ambient Intelligence and Humanized Computing, 14(11), 14395-14407. [Source]

28. Laffranchi, M., Boccardo, N., Traverso, S., Lombardi, L., Canepa, M., Lince, A., ... & De Michieli, L. (2020). The Hannes hand prosthesis replicates the key biological properties of the human hand. Science robotics, 5(46), eabb0467. [Source]

29. Lo, C. K., Chen, C. H., & Zhong, R. Y. (2021). A review of digital twin in product design and development. Advanced Engineering Informatics. [Source]

30. Ma, L. & Niu, J. (2021). Three‐Dimensional (3D) Anthropometry and its Applications In Product Design. Handbook of human factors and ergonomics. [Source]

31. Malhotra, S., Yadav, J., & Chopra, A. (2023, May). Precision Anthropometric Insights for User-Centric Mobile Phone Design. In International Conference on Business and Technology (pp. 192-203). Cham: Springer Nature Switzerland.

32. Mandahawi, Nabeel, Sheik Imrhan, Salman Al-Shobaki, B.Sarder (2008) Hand anthropometry survey for the Jordanian population, International Journal of  Industrial Ergonomics, Vol 38(11), Pages 966-976, https://doi.org/10.1016/j.ergon.2008.01.010

33. Martin, P. (2023). The Seven Measures of the World. [Source]

34.Matthew S. Rogers, Alan B. Barr, Boontariga Kasemsontitum & David M. Rempel (2008). A three-dimensional anthropometric solid model of the hand based on landmark measurements, Ergonomics Vol. 51, No. 4,  511–526, DOI:10.1080/00140130701710994

35. Mocini, E., Cammarota, C., Frigerio, F., Muzzioli, L., Piciocchi, C., Lacalaprice, D., ... & Pinto, A. (2023). Digital anthropometry: A systematic review on precision, reliability and accuracy of most popular existing technologies. Nutrients, 15(2), 302. [Source]

36. Mohd Javaid, Abid Haleem, Ravi Pratap Singh,Rajiv Suman (2021), Industrial perspectives of 3D scanning: Features, roles and it's analytical application, Sensors International, Sensors International, Volume 2, 2021,100114, https://doi.org/10.1016/j.sintl.2021.100114

37. Morgan, J. & Liker, J. K. (2020). The Toyota product development system: integrating people, process, and technology. [Source]

38. Moustafa A. W. (2016) "Anthropometry of the Egyptian female hand with relevance to control design", 4th International Conference of the Faculty of Applied Arts, Helwan University, Cairo (28-29 February, 2016)

39. Nickerson, B. S., McLester, C. N., McLester, J. R., & Kliszczewicz, B. M. (2020). Relative accuracy of anthropometric-based body fat equations in males and females with varying BMI classifications. Clinical nutrition ESPEN, 35, 136-140. [Source]

40. Padilla, C. J., Ferreyro, F. A., & Arnold, W. D. (2021). Anthropometry as a readily accessible health assessment of older adults. Experimental Gerontology. [Source]

41. Pal, A., Patel, T., & Khro, K. (2024). A comparative study of the effectiveness of photogrammetric versus manual anthropometric measurements. Work. [Source]

42. Parvez, M. S., Shahriar, M. M., Tasnim, N., & Hoque, A. S. M. (2022). An anthropometry survey of Bangladeshi university students. Journal of Industrial and Production Engineering, 39(2), 89-108. [Source]

43. Patrick, V. M. & Hollenbeck, C. R. (2021). Designing for all: Consumer response to inclusive design. Journal of consumer psychology. [Source]

44. Pepe, M. & Domenica, C. (2020). Techniques, tools, platforms and algorithms in close range photogrammetry in building 3D model and 2D representation of objects and complex architectures. Computer-Aided Design and Applications. [Source]

45. Reiman, A., Kaivo-oja, J., Parviainen, E., Takala, E. P., & Lauraeus, T. (2021). Human factors and ergonomics in manufacturing in the industry 4.0 context–A scoping review. Technology in Society, 65, 101572. [Source]

46. Rincón-Becerra, O. & García-Acosta, G. (2020). Estimation of anthropometric hand measurements using the ratio scaling method for the design of sewn gloves. Dyna. [Source]

47. Rodrigues, P. B., Xiao, Y., Fukumura, Y. E., Awada, M., Aryal, A., Becerik-Gerber, B., ... & Roll, S. C. (2022). Ergonomic assessment of office worker postures using 3D automated joint angle assessment. Advanced Engineering Informatics, 52, 101596. [Source]

48. Rostamzadeh, S., Saremi, M., Vosoughi, S., Bradtmiller, B., Janani, L., Farshad, A. A., & Taheri, F. (2021). Analysis of hand-forearm anthropometric components in assessing handgrip and pinch strengths of school-aged children and adolescents: a partial least squares (PLS) approach. BMC pediatrics, 21, 1-12. [Source]

49. Rosu, D., Enache, I. S., Muntean, R. I., & Stefanica, V. (2024). Effects of Kin Ball Initiation: Pre-and Post-Pandemic Impact on Palmar Muscle Strength, Endurance, and Coordination in Non-Athlete Participants. Sports. [Source]

50. Rumbo-Rodríguez, L., Sánchez-SanSegundo, M., Ferrer-Cascales, R., García-D’Urso, N., Hurtado-Sánchez, J. A., & Zaragoza-Martí, A. (2021). Comparison of body scanner and manual anthropometric measurements of body shape: a systematic review. International journal of environmental research and public health, 18(12), 6213. [Source]

51. Saaludin, N., Saad, A., & Mason, C. (2022). Reliability and ethical issues in conducting anthropometric research using 3D scanner technology. In Digital Manufacturing Technology for Sustainable Anthropometric Apparel (pp. 71-95). Woodhead Publishing. [Source]

52. Seifert, E. A. (2020). Comparison and Validation of Traditional and Three-Dimensional Anthropometric Methods for Measuring the Hand through Reliability, Precision, and Visual Analysis. [Source]

53. Shahriar, M. M., Parvez, M. S., & Lutfi, M. (2020). A survey of hand anthropometry of Bangladeshi agricultural farm workers. International Journal of Industrial Ergonomics, 78, 102978. [Source]

54. Shan, D., Geng, J., Shu, M., & Fouhey, D. F. (2020). Understanding human hands in contact at internet scale. In Proceedings of the IEEE/CVF conference on computer vision and pattern recognition (pp. 9869-9878). [Source]

55. Shan, G. (2023). … of equipment design and human physical ability: Leveraging biomechanics, ergonomics/anthropometry, and wearable technology for enhancing human, Advanced Design Research. [Source]

56. Sheik N. Imrhana; M. D. Sarderb; Nabeel Mandahawic (2009).Hand anthropometry in Bangladeshis living in America and comparisons with other populations, Ergonomics Volume 52(8) pp987-998, DOI:10.1080/00140130902792478

57. Smith, B., McCarthy, C., Dechenaud, M. E., Wong, M. C., Shepherd, J., & Heymsfield, S. B. (2022). Anthropometric evaluation of a 3D scanning mobile application. Obesity, 30(6), 1181-1188. [Source]

58. Stark, E., Haffner, O., & Kučera, E. (2022). Low-cost method for 3D body measurement based on photogrammetry using smartphone. Electronics. [Source]

59. Strandholt, P. L., Dogaru, O. A., Nilsson, N. C., Nordahl, R., & Serafin, S. (2020, April). Knock on wood: Combining redirected touching and physical props for tool-based interaction in virtual reality. In Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems (pp. 1-13). [Source]

60. Sutcliffe, A. (2022). Designing for user engagement: Aesthetic and attractive user interfaces. [Source]

61. Taha, Z., Aris, M. A., Ahmad, Z., Hassan, M. H. A., & Sahim, N. N. (2013). A Low Cost 3D Foot Scanner for Custom-Made Sports Shoes. Applied Mechanics and Materials, 440, 369–372.

62. Taifa, I. W., Desai, D. A., & Bulsara, N. M. (2021). The development of an ergonomically designed product through an integrated product team approach. International Journal of Occupational Safety and Ergonomics. [Source]

63. Thanas M. Greiner (1991) Hand Anthropometry of U.S. Army Personnel, Anthropology Branch, Behavioral Sciences Division, Soldier Science Directorate, U.S. Army Natick Research, Development & Engineering Center, Natick, REPORT NUMBER MA 01760-5020

64. Thelwell, M., Chiu, C. Y., Bullas, A., Hart, J., Wheat, J., & Choppin, S. (2020). How shape-based anthropometry can complement traditional anthropometric techniques: a cross-sectional study. Scientific Reports, 10(1), 12125. [Source]

65. Thomas M. Greiner (1991), Hand Anthropometry OF U.S. Army Personnel, Anthropology Branch, Behavioral Sciences Division Soldier Science Directorate, U.S. Army Natick Research, Development & Engineering Center, Natick, Report Number MA 01760-5020

66. Ulijaszek, S. (2020). Reporting statistics on. The Anthropological Demography of Health. [Source]

67. Uriel, J., Ruescas, A., Iranzo, S., Ballester, A., Parrilla, E., Remón, A., & Alemany, S. (2022). A methodology to obtain anthropometric measurements from 4D scans. In Proceedings of the 7th International Digital Human Modeling Symposium (Vol. 7, No. 1). University of Iowa. [Source]

  1. Vijayan, V., Connolly, J. P., Condell, J., McKelvey, N., & Gardiner, P. (2021). Review of wearable devices and data collection considerations for connected health. Sensors, 21(16), 5589. [Source]
  2. Wang, B., Zheng, P., Yin, Y., Shih, A., & Wang, L. (2022). Toward human-centric smart manufacturing: A human-cyber-physical systems (HCPS) perspective. Journal of Manufacturing Systems, 63, 471-490. [Source]
  3. Wang, L., Lee, T. J., Bavendiek, J., & Eckstein, L. (2021). A data-driven approach towards the full anthropometric measurements prediction via Generalized Regression Neural Networks. Applied Soft Computing. [Source]
  4. Wang, Z. (2020). Review of real-time three-dimensional shape measurement techniques. Measurement. [Source]
  5. Wen, J., Wang, J., Xu, Q., Wei, Y., Zhang, L., Ou, J., ... & Tong, M. (2020). Hand anthropometry and its relation to grip/pinch strength in children aged 5 to 13 years. Journal of International Medical Research, 48(12), 0300060520970768. [Source]
  6. Yang, Y., Zhou, H., Song, Y., & Vink, P. (2021). Identify dominant dimensions of 3D hand shapes using statistical shape model and deep neural network. Applied Ergonomics. [source]
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