Artificial Intelligence - Special issue on knowledge representation
Techniques for Plan Recognition
User Modeling and User-Adapted Interaction
CASS: A Context-Aware Simulation System for Smart Home
SERA '07 Proceedings of the 5th ACIS International Conference on Software Engineering Research, Management & Applications
A KEYHOLE PLAN RECOGNITION MODEL FOR ALZHEIMER'S PATIENTS: FIRST RESULTS
Applied Artificial Intelligence
Ambient Intelligence—the Next Step for Artificial Intelligence
IEEE Intelligent Systems
Services Inside the Smart Home: A Simulation and Visualization Tool
ICSOC-ServiceWave '09 Proceedings of the 7th International Joint Conference on Service-Oriented Computing
Guidelines to efficient smart home design for rapid AI prototyping: a case study
Proceedings of the 5th International Conference on PErvasive Technologies Related to Assistive Environments
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Smart home technologies have become, in the last few years, a very active topic of research. However, many scientists working in this field do not possess smart home infrastructure allowing them to conduct satisfactory experiments in a concrete environment with real data. To address this issue, this paper presents a new flexible 3D smart home infrastructure simulator developed in Java specifically to help researchers working in the field of activity recognition. A set of pre-recorded scenarios, made with data extracted from clinical trials, will be included with the simulator in order to give a common foundation for testing activity recognition algorithms. The goal is to release the SIMACT simulator as an open source component that will benefit the whole smart home research community.