Modeling and simulating motions of human bodies in a futuristic distributed tele-immersive collaboration system for synthesizing transient input traffic

In this paper we model human body as a discrete-event system that enables applying discrete-event simulation (DES) to forward kinematics of stochastic and deterministic motions of a human body. Human gait cycles for walking and running are examples of the latter. Fast and flexible DES is made possible by linear interpolation for both motion types. It gives close approximation to finite Fourier series that model natural gait cycles. We use the simulator as the building block in simulating a futuristic tele-immersive collaboration system with arbitrary multi-actor collaboration scenario from remote locations. The silhouette area from the visualization of simulated moving human bodies is the main feature in synthesizing transient traffic that would result from such collaboration system. It will be useful as the input traffic for DES of arbitrary networks in future work. We demonstrate how to apply the simulation framework to simulate a scenario of collaborative dancing and singing that involves four performers with both motion types from two different places. Through the scenario we also show how the simulator works as a novel transient-traffic generator.

Highlight
► Discrete event simulation (DES) of stochastic/deterministic human-body motion.
► Human gait (walking and running) in Fourier series as deterministic human motion.
► Linear interpolation as close approximation to human gait modeled as Fourier series.
► Silhouettes of human bodies as the main basis for input traffic synthesis in DES.
► An exemplary application to simulate a futuristic teleimmersive collaboration system.