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Prediction the Biodynamic Response of the Seated Human Body using Artificial Intelligence Technique
Mostafa Abdeen, Wael Abbas
Pages - 491 - 506     |    Revised - 31-01-2011     |    Published - 08-02-2011
Volume - 4   Issue - 6    |    Publication Date - January / February  Table of Contents
Biodynamic response, Analytic seated human body model, Numerical simulation ,model, Artificial neural network
The biodynamic response behaviors of seated human body subject to whole-body vibration have been widely investigated. The biodynamic response characteristics of seated human subjects have been extensively reported in terms of apparent mass and driving-point mechanical impedance while seat-to-head vibration transmissibility has been widely used to characterize response behavior of the seated subjects exposed to vibration. These functions (apparent mass, driving-point mechanical impedance) describe “to-the-body” force–motion relationship at the human–seat interface, while the transmissibility function describes “through-the-body” vibration transmission properties. The current study proposed a 4-DOF analytic biomechanical model of the human body in a sitting posture without backrest in vertical vibration direction to investigate the biodynamic responses of different masses and stiffness. Following the analytical approach, numerical technique developed in the present paper to facilitate and rapid the analysis. The numerical analysis used here applies one of the artificial intelligence technique to simulate and predict the response behaviors of seated human body for different masses and stiffness without the need to go through the analytic solution every time. The Artificial Neural Network (ANN) technique is introduced in the current study to predict the response behaviors for different masses and stiffness rather than those used in the analytic solution. The results of the numerical study showed that the ANN method with less effort was very efficiently capable of simulating and predicting the response behaviors of seated human body subject to whole-body vibration.
CITED BY (6)  
1 Coyte, J. L., Stirling, D., Du, H., & Ros, M. Seated Whole-Body Vibration Analysis, Technologies, and Modeling: A Survey.
2 Abdeen, M. A. M., Abdin, A. E. D., & Abbas, W. (2015). Simulation and prediction for energy dissipaters and stilling basins design using artificial intelligence technique. Cogent Engineering, 2(1), 1018705.
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4 Mizrahi, J. (2015). Mechanical Impedance and Its Relations to Motor Control, Limb Dynamics, and Motion Biomechanics. Journal of medical and biological engineering, 35(1), 1-20.
5 Gohari, M., & Tahmasebi, M. (2014). Off-road Vehicle Seat Suspension Optimisation, Part II: Comparative Study between Meta-Heuristic Optimisation Algorithms. Low Frequency Noise, Vibration and Active Control, 33(4), 443-454.
6 Kishore, N. A., Prashanth, A. S., Saran, V. H., & Harsha, S. P. Transmissibility and DPMI analysis of the seated posture of Human under Low frequency vibration.
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Associate Professor Mostafa Abdeen
- Egypt
Dr. Wael Abbas
- Egypt