Modelagem de Captura de Movimentos para Estudo da Estabilidade Corporal Utilizando Kinect
Abstract
The present work aimed to obtain a model of use of the Kinect motion sensor for experimentation and analysis of body kinematics, with a view to the study of postural balance, since the literature provides little information about computational models used in applications with motion capture devices. Therefore, a routine for calculating the CM was developed using the kinematic method and anthropometric data along with the test in orthostatic posture (static test).
References
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De Leva, P. (1996). Adjustments to Zatsiorsky-Seluyanov’s segment inertia parameters. Journal of Biomechanics, 29(9), 1223–1230. doi:10.1016/0021-9290(95)00178-6
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Puh, U., Hoehlein, B., Deutsch, J. (2019). Validity and Reliability of the Kinect for Assessment of Standardized Transitional Movements and Balance: Systematic Review and Translation into Practice. Physical Medicine and Rehabilitation Clinics of North America. 30. 399-422. 10.1016/j.pmr.2018.12.006.
Lafond, D., Duarte, M., & Prince, F. (2004). Comparison of three methods to estimate the center of mass during balance assessment. Journal of Biomechanics, 37(9), 1421–1426. doi:10.1016/s0021-9290(03)00251-3
Ejupi, A., Gschwind, Y. J., Brodie, M., Zagler, W. L., Lord, S. R., & Delbaere, K. (2016). Kinect-based choice reaching and stepping reaction time tests for clinical and in-home assessment of fall risk in older people: a prospective study. European Review of Aging and Physical Activity,
Latash, M. L. (2008). Neurophysiological Basis of Movement. 2. ed. Champaign: Human Kinects.
Yeung, LF, Cheng KC, Fong CH, Lee WCC, Tong K-Y. (2014). Evaluation of the Microsoft Kinect as a clinical assessment tool of body sway. Gait & Posture. 40: 532-538.
Melgar, E. R., Diez, C. C. (2012). Arduino and Kinect Projects. Apress
SDK Kinect version 1.8 (2019). At: [link].
Python. (2019). At: https://www.python.org/
Zatsiorsky, V. M., Seluyanov, V. N. and Chugunova, L. G. (1990). Methods of determining mass-inertial characteristics of human body segments, Contemporary Problems of Biomechanics, (Edited by Chemyi G. G. and Regirer, S. A.), CRC Press, Massachusetts, 272–291.
De Leva, P. (1996). Adjustments to Zatsiorsky-Seluyanov’s segment inertia parameters. Journal of Biomechanics, 29(9), 1223–1230. doi:10.1016/0021-9290(95)00178-6
Narciso, F. V, Santos, S. S., Ferreira, F., Lemos, V. S., Barauna, M. A., Cheik, N. C., Canto, R. S. T. (2010) Center of gravity height and number of falls in active and sedentary older adults. Rev Bras Cineantropom Desempenho Hum 2010, 12(4):302-307.
Puh, U., Hoehlein, B., Deutsch, J. (2019). Validity and Reliability of the Kinect for Assessment of Standardized Transitional Movements and Balance: Systematic Review and Translation into Practice. Physical Medicine and Rehabilitation Clinics of North America. 30. 399-422. 10.1016/j.pmr.2018.12.006.
Lafond, D., Duarte, M., & Prince, F. (2004). Comparison of three methods to estimate the center of mass during balance assessment. Journal of Biomechanics, 37(9), 1421–1426. doi:10.1016/s0021-9290(03)00251-3
Ejupi, A., Gschwind, Y. J., Brodie, M., Zagler, W. L., Lord, S. R., & Delbaere, K. (2016). Kinect-based choice reaching and stepping reaction time tests for clinical and in-home assessment of fall risk in older people: a prospective study. European Review of Aging and Physical Activity,
Published
2022-06-07
How to Cite
OLIVEIRA, Givaldo S. de; MENUCHI, Marcos R. T. P.; AMBRÓSIO, Paulo E..
Modelagem de Captura de Movimentos para Estudo da Estabilidade Corporal Utilizando Kinect. In: THESIS AND DISSERTATION CONTEST - BRAZILIAN SYMPOSIUM ON COMPUTING APPLIED TO HEALTHCARE (SBCAS), 22. , 2022, Teresina/PI.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2022
.
p. 39-43.
ISSN 2763-8987.
DOI: https://doi.org/10.5753/sbcas_estendido.2022.222545.
