Prediction of closed-chain human arm dynamics in a crank-rotation task.

This paper deals with the analysis of human arm movement in a crank-rotation task that is an example of environmentally constrained movements. Opening a door, rotating a steering wheel, and pushing a carriage are other typical examples of movements where the physical constraints, imposed on the hand position/orientation, influence the joint angles of the shoulder and the elbow. To predict kinematic and kinetic patterns for human arm movement in crank-rotation tasks, we use an optimization-based technique.

Human arm posture prediction in response to isometric endpoint forces.

The ability to predict the musculoskeletal response to external loads has multiple applications for the design of machines with a human interface and for the prediction of outcomes of musculoskeletal interventions. In this study, we applied an inverse-inverse dynamics technique to investigate its ability to predict arm posture in response to isometric hand forces. For each subject, we made a three-dimensional musculoskeletal model using the AnyBody Modelling System (AMS).