Evaluation of the pre-impact fall detection algorithm: experiment vs dynamic simulation

Pre-impact fall detection is extremely important to prevent fractures especially for the elderly. Both fall experiments on 40 young male volunteers as well as dynamic simulations with the human model (HARB) were performed to evaluate pre-impact fall detection algorithm, based on accelerations, angular velocities, VA, TF and lead times using an IMU sensor attached in the middle of LASIS and RASIS. Dynamic simulations and experiments on backward, sideways, and twist falls were in good agreement on lead times and all inertial properties. Dynamic simulations would be a good alternative to analyse fall mechanics rather than in simulated laboratory experiments.