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Biocybernetics and Biomedical Engineering

Tytuł artykułu

A description of hand matrices to extract various characteristics of human hand in three-dimensional space

Autorzy Sekine, T.  Hibino, S.  Nakamura, Y. 
Treść / Zawartość
Warianty tytułu
Języki publikacji EN
EN This study focuses on a description of hand matrices to extract various characteristics of human hand in three-dimensional space. A mathematical expression for human hand has scarcely been proposed so far, and the practical, versatile description has been required to analyze a gesture behavior in detail. In this study, the bones and joints of human hand were explained supplementarily. After that, a CG model of human hand was created according to the anatomical structure. With reference to the model's structure, hand matrices were proposed to investigate poses, positions, and postural orientations of human hand in a uniform manner. The several examples were also discussed with appropriate illustrations. As a result, the characteristics of hand matrices were revealed in practically-possible cases; moreover, the mathematical treatments were theoretically versatile and simple to find a difference or common feature of hand motion in three-dimensional space.
Słowa kluczowe
PL ręka   gestykulacja   opis macierzowy   ekstrakcja cech  
EN human hand   gesture behavior   matrix description   CG model   feature extraction  
Wydawca Nałęcz Institute of Biocybernetics and Biomedical Engineering of the Polish Academy of Sciences
Czasopismo Biocybernetics and Biomedical Engineering
Rocznik 2017
Tom Vol. 37, no. 3
Strony 520--527
Opis fizyczny Bibliogr. 20 poz., rys.
autor Sekine, T.
  • Department of Systems Design Engineering, Faculty of Science and Technology, Seikei University, 3-3-1 Kichijojikitamachi, Musashino-shi, Tokyo 180-8633, Japan,
autor Hibino, S.
  • Course of Mechanical Engineering, Graduate School of Engineering, Tokai University, Kanagawa, Japan
autor Nakamura, Y.
  • Course of Mechanical Engineering, Graduate School of Engineering, Tokai University, Kanagawa, Japan
[1] Lee KS, Jung MC. Ergonomic evaluation of biomechanical hand function. Saf Health Work 2014;6:9–17.
[2] Fok KS, Chou SM. Development of a finger biomechanical model and its considerations. J Biomech 2010;43:701–13.
[3] Parasuraman S, Yee KC. Bio-mechanical analysis of human hand. International Conference on Computer and Automation Engineering. 2009. pp. 93–7.
[4] Gustus A, Stillfried G, Visser J, Jorntell H, van der Smagt P. Human hand modelling: kinematics, dynamics, applications. Biol Cybern 2012;106:741–55.
[5] Pisharady PK, Saerbeck M. Recent methods and databases in vision-based hand gesture recognition: a review. Comput Vis Image Understand 2015;141:152–65.
[6] Metaxas D, Zhang S. A review of motion analysis methods for human Nonverbal Communication Computing. Image Vis Comput 2013;31:421–33.
[7] Endo Y, Tada M, Mochimaru M. Reconstructing individual hand models from motion capture data. J Comput Des Eng 2014;1:1–12.
[8] Taylor CL, Schwarz RJ. The anatomy and mechanics of the human hand. Artif Limbs 1955;2:22–35.
[9] Ryu JH, Miyata N, Kouchi M, Mochimaru M, Lee KH. Analysis of skin movement with respect to flexional bone motion using MR images of a hand. J Biomech 2006;39:844–52.
[10] Wheatland N, Wang Y, Song H, Neff M, Zordan V, Jörg S. State of the art in hand and finger modeling and animation. Comput Graph Forum 2015;34:735–60.
[11] Miller A, Allen P, Santos V, Valero-Cuevas F. From robot hands to human hands: a visualization and simulation engine for grasping research. Ind Robot 2005;32:55–63.
[12] Dong RG, Sinsel EW, Welcome DE, Warren C, Xu XS, McDowell TW, et al. Review and evaluation of hand–arm coordinate systems for measuring vibration exposure, biodynamic responses, and hand forces. Saf Health Work 2015;6:159–73.
[13] Yasumuro Y, Chen Q, Chihara K. Three-dimensional modeling of the human hand with motion constraints. Image Vis Comput 1999;17:149–56.
[14] van Nierop OA, van der Helm A, Overbeeke KJ, Djajadiningrat TJP. A natural human hand model. Vis Comput 2008;24:31–44.
[15] Liu X, Zhan Q. A matrix method for human hand gesture description. International Conference on Complex Medical Engineering. 2013. pp. 340–4.
[16] Liu X, Zhan Q. Description of the human hand grasp using graph theory. Med Eng Phys 2013;35:1020–7.
[17] Cobos S, Ferre M, Urán MAS, Ortego J, Peña C. Efficient human hand kinematics for manipulation tasks. International Conference on Intelligent Robots and Systems. 2008. pp. 2246–51.
[18] Yang J, Gao F, Shi L, Jin Z. State classification for human hands. J Bionic Eng 2008;5:158–63.
[19] Stillfried G, Hillenbrand U, Settles M, van der Smagt P. MRI-based skeletal hand movement model. The Human Hand as an Inspiration for Robot Hand Development. Springer International Publishing; 2014. p. 49–75.
[20] staff, Blausen gallery. Wikiversity J Med 2014;1.
PL Opracowanie ze środków MNiSW w ramach umowy 812/P-DUN/2016 na działalność upowszechniającą naukę (zadania 2017).
Kolekcja BazTech
Identyfikator YADDA bwmeta1.element.baztech-87a34828-6166-4415-9b38-2d06a76c9785
DOI 10.1016/j.bbe.2017.05.003