Behavior Pattern Detection for Data Assimilation in Agent-Based Simulation of Smart Environments

Agent-based simulation is useful for studying human activity and their interactions in smart environments. Existing agent-based simulations are mostly offline tools that do not utilize real time information of smart environments. In previous work we developed a particle filter-based data assimilation method to assimilate real time sensor data from the environment into an agent-based simulation model. This paper extends the previous work by...