Temporal analysis of human motion signatures.

Passive and active signals characterize human motion. Passive signals produced by footsteps are recorded with microphones and geophones. Active signals are measured with Doppler techniques and characterize the oscillatory motion of human body parts with different acoustic cross‐sections and velocities. Simultaneous measurements of human passive and active signatures show temporal synchronization. This synchronization results in equal cadence frequencies for human motion signatures. These signatures are compared to a mathematical model of human motion [Boulic et al., “A global human walking model with real‐time kinematic personification,” Visual Comput. (1990)]. This empirical model predicts the motion of key body parts including shoulders, elbows, fingers, hips, knees, and toes for an “average” human walking at a constant velocity. Speeds of the body parts depend on the walking velocity and the size of the individual as parametrized by thigh height. Comparison of experimental data with the predictions of ...