Designing a Home of the Future
IEEE Pervasive Computing
MavHome: An Agent-Based Smart Home
PERCOM '03 Proceedings of the First IEEE International Conference on Pervasive Computing and Communications
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IEEE Intelligent Systems
An Activity Recognition Model for Alzheimer's Patients: Extension of the COACH Task Guidance System
Proceedings of the 2008 conference on ECAI 2008: 18th European Conference on Artificial Intelligence
SIMACT: a 3D open source smart home simulator for activity recognition
AST/UCMA/ISA/ACN'10 Proceedings of the 2010 international conference on Advances in computer science and information technology
ICOST'11 Proceedings of the 9th international conference on Toward useful services for elderly and people with disabilities: smart homes and health telematics
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Advances in ubiquitous technology have moved us towards the dream of creating intelligent houses that can help human in their everyday life. The next step in the completion of this vision is to make major breakthroughs in artificial intelligence. In fact, it is the key component for allowing sensors and effectors to give useful services when it is appropriate. In consequence, researchers need to conduct more experiments in realistic setting (e.g. smart home). In order to face this challenge, many research teams try to build new experimental infrastructures without any background experience, guidance or even a real idea of their research needs and issues. Our team is composed of specialists in AI for cognitive assistance and has worked with four major smart home infrastructures. From that experience, we propose, in this paper, a set of guidelines for designing and implementing an efficient smart home architecture on both hardware and software perspective. This paper aims to be a major step toward the AI development (rapid prototyping) and smart home research. Moreover, we share our recent experience with the construction of a new smart home and clinical trials conducted at our laboratory with real Alzheimer's subjects.