Physics-Based Seated Posture Prediction for Pregnant Women and Validation Considering Ground and Seat Pan Contacts

摘要: An understanding of human seated posture is important across many fields scientific research. Certain demographics, such as pregnant women, have special postural limitations that need to be considered. Physics-based prediction a tool in which postures can quickly and thoroughly analyzed, long the predicted are realistic. This paper proposes validates an optimization formulation predict for women considering ground seat pan contacts. For formulation, design variables joint angles (posture); cost function dependent on torques. Constraints include limits, torque distances from end-effectors target points, self-collision avoidance constraints. Three different functions been investigated account characteristics consider support reaction forces (SRFs) associated with posture. Postures three reaching tasks common directions using each objective formulations. The validated against experimental obtained motion capture. A linear regression analysis was used evaluate validity criteria comparison between functions. 56 degree freedom model prediction. Use minimizing maximum normalized provided R2 value 0.828, proving superior either two alternative