These days most of the workers use hand controller tools. Because of this it is useful to know the relations between hand and these kinds of tools. One of these relations is cylindrical power grip. For this reason first of all a device is prepared for measuring the torque value. After that by creating a model in ANYBODY software for gripping motion for forces and muscular activities have been calculated. In this case for solving the inverse kinetic problem several cost functions are defined and the results are compared. On the other hand, by using Electromyography tests in gripping motion the activity of 3 surface muscles are investigated and finally the modeling and Electromyography’s results are compared.

No abstract

No abstract

No abstract

The purpose of this paper is to study formulations and computational procedures for prediction of natural human response to tilting of its base of support. The human skeletal structure is modeled as a five-segment, four-degree-of-freedom mechanical system standing on sinusoidally driven tilting platform in the sagittal plane. The problem is formulated based on predictive dynamics method that leads to an optimization problem. The joint torque square is included in the performance measure and the dynamic stability is achieved by satisfying the vertical forces criterion. The constrained nonlinear optimization problem is solved using an algorithm based on the sequential quadratic programming (SQP) approach. The results which are joint trajectories and torques are characterized in terms of two main types of movement strategies observed in humans, namely, the ankle and hip strategies. Moreover, the effect of arms on the stability of the model is studied. The results obtained with the formulation are validated with the experimental data. Simulation results demonstrate the effectiveness of the proposed formulation in prediction of natural motion of human in response to tilting of the base plate.