A tool that predicts the trajectories of linked human body segments on the basis of their inertial properties could be useful in the analysis of fall accidents. In order to be of value in forensic applications, relevant attributes of both the plaintiff and accident site must be modeled at some requisite level of fidelity. By systematically varying different attributes of the model, e.g., avatar posture, body segment velocity, coefficient-of-friction between modeled treads and footwear, it is possible to examine the likely consequences on body-segment trajectories. Trajectories and collisions can then be compared with patterns of injury, plaintiff testimony, and witness accounts.
