6533b854fe1ef96bd12aeb57

RESEARCH PRODUCT

A Self-Contained Biometric Sensor for Ubiquitous Authentication

Salvatore VitabileVincenzo ContiCarmelo MilitelloFilippo Sorbello

subject

symbols.namesakeFinite-state machineTheoretical computer scienceComputer scienceGaussianAutonomous agentProbabilistic logicsymbolsVariance (accounting)Function (mathematics)Expected valueVirtual reality

description

This paper describes a real-life behavior framework in simulation game based on Probabilistic State Machine (PSM) with Gaussian random distribution. According to the dynamic environment information, NPC can generate behavior planning autonomously associated with defined FSM. After planning process, we illuminate Gaussian probabilistic function for real-life action simulation in time and spatial domains. The expected value of distribution is estimated during behavior planning process and variance is determined by NPC personality in order to realize real life behavior simulation. We experiment the framework and Gaussian PSM on a restaurant simulation game. Furthermore we give some suggestions to enhance emotion engine on behavior planning for virtual reality.

yearjournalcountryeditionlanguage
2007-10-01
http://hdl.handle.net/10447/13365