Upper Body Reach Posture And Trajectories Prediction

Upper body reach posture and trajectories prediction has been one of the focus topics. in the field of Human Factors. The existing predicting methods, however, should be improved in prediction accuracy, the attaiment of natural posture or trajectories and the real time of one prediction. The present study has adopted new perspectives into this field. In the first, the right arm and torso were specified as an eleven-degrees-of freedom kinematic linkage according to the human body physiological features. Secondly, the workplace was divided equally into 600 regions. Thirdly, based on real-time longitudinal data collected through three-dimensional motion capture system during the period of the right hand reaching 600 targets in the workplace, the fitting-curve method and the kernel function which stems from self-organization map theory were introduced to predict upper body reach posture and trjectories. The prediction was made in three conditions namely pointing the target button by natural speed Research i, pointing the botton by high speed Research ii and pushing the target button by natural speed Research iii . On the basis of those results, an upper body reach posture and trajectories prediction computer system was established. This system can be used in the simulation of upper body motion in computer three-dimensional human modeling, and also in ergonomic design evluation.The main findings are as follows:(1) Different parts of the right arm play different roles during the reach motion period, even the actions in different degrees-of-freedom of the same articulation are distinct.(2) The reach posture and trajectories mainly depend on the target position, however they are also affected by the motion speed and the control type.(3) The approach which integrating the workspace, curving fitting method and kernel functions can be used in upper body reach posture and trajectoties prdiction, and also can be introduced into modeling the motion of other body parts.(4) The established upper body reach posture and trajectories prediction computer system can satisfy the ergonomics design and evaluation, because of its accuracy, naturalness and real-time prediciton.