Abstract:

A 7 DOF (degree-of-freedom) biomechanical model of human on a seat without backrest based on multi-body dynamics theory was developed to predict the biodynamic responses of the seated human body in vertical vibration conditions. The parameters of the model were estimated to satisfy the STH (seat-to-head transmissibility) characteristic defined by a synthesis of published data for seated subjects without backrest support. The parameter identification technique involves the solution of a multivariable optimization function and comprises the sum of squared magnitude and phase errors associated with the seattohead transmissibility target values. The cerebral oxygenation was detected by NIRS to verify the accuracy of the studied model. The results showed that the proposed model could improve the vehicle seating system designs.

Key words: least squares, human-body vibration, Seven degrees of freedom, parameter identification, cerebral oxygenation