Development of Situation-Aware Application Software for Ubiquitous Computing Environment
COMPSAC '02 Proceedings of the 26th International Computer Software and Applications Conference on Prolonging Software Life: Development and Redevelopment
Towards a Better Understanding of Context and Context-Awareness
HUC '99 Proceedings of the 1st international symposium on Handheld and Ubiquitous Computing
Tutorial on agent-based modeling and simulation
WSC '05 Proceedings of the 37th conference on Winter simulation
Introduction to modeling and simulation
WSC '05 Proceedings of the 37th conference on Winter simulation
DiaSim: A parameterized simulator for pervasive computing applications
PERCOM '09 Proceedings of the 2009 IEEE International Conference on Pervasive Computing and Communications
Persim - Simulator for Human Activities in Pervasive Spaces
IE '11 Proceedings of the 2011 Seventh International Conference on Intelligent Environments
Agent-Based simulation platform evaluation in the context of human behavior modeling
AAMAS'11 Proceedings of the 10th international conference on Advanced Agent Technology
3D Modeling and Simulation of Human Activities in Smart Spaces
UIC-ATC '12 Proceedings of the 2012 9th International Conference on Ubiquitous Intelligence and Computing and 9th International Conference on Autonomic and Trusted Computing
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As demands for human activity recognition technology increase, simulation of human activities for providing datasets and testing purposes is becoming increasingly important. Traditional simulation, however, is based on an event-driven approach, which focuses on single sensor events and models within a single human activity. It requires detailed description and processing of every low-level event that enters into an activity scenario. For many realistic and complex human scenarios, the event-driven approach burdens the simulator users with complicated low-level specifications required to configure and run the simulation. It also increases computational complexity and impedes scalable simulation. Thus, we propose a novel, context-driven approach to simulating human activities in smart spaces. In the proposed approach, vectors of sensors rather than single sensor events drive the simulation quicker from one context to another. Abstracting the space state into contexts highly simplifies the tasks and efforts of the simulation user in setting up and configuring the simulation components for smart space and human activities. We present the context-driven simulation approach and show how it works. Then we present fundamental concepts and algorithms and provide a comparative performance study between the event- and context-driven simulation approaches.