MavHome: an agent-based smart home

By Diane Joyce Cook, Michael Youngblood, E. O. Heierman, Karthik Gopalratnam, S. Rao, A. Litvin, Farhan A. Khawaja. Annual IEEE International Conference on Pervasive Computing and Communications, 2003

629 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Computer Vision and Pattern Recognition, Signal Processing

View Paper: https://www.semanticscholar.org/paper/4b61ae6fc24e533e73b41cd502f94d74e2cd4436

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Citations in the corpus

Learning from a learning thermostat: lessons for intelligent systems for the home (2013, background): “, [3,9,10,15]), but few such projects have provided insight into the lived experience of occupants.”
Activity Recognition on Streaming Sensor Data (2012, background): “A good number of on-going projects in smart environment and activity recognition such as the CASAS project [1], MavHome [2], PlaceLab [3], CARE [4] and the Aware Home [5] stand testimony to the importance of this research area.”
Principles of Smart Home Control (2006, background): “While an extreme case, evidence from the MavHome, a smart home research environment [11] illustrates this point well.”
Data Mining for Internet of Things: A Survey (2014, background): “Although most researches on IoT emphasize that computing and data storage of IoT need to be decentralized, most data mining technologies are designed in such a way that they need to have an overall view of the data in order to find useful information.”
Internet of Things: Architectures, Protocols, and Applications (2017, methodology): “For example, the project, MavHome [75], provides an intelligent agent, which uses various prediction algorithms for doing automated tasks in response to user triggered events and adapts itself to the routines of the inhabitants.”
Smart Homes for Elderly Healthcare—Recent Advances and Research Challenges (2017, background): “A smart home system, MavHome (Managing An intelligent Versatile Home) was introduced in [145] that used several sensors to perceive and analyze home environment as well as the residents’ action.”
Detecting Human Behavior Models From Multimodal Observation in a Smart Home (2009, background): “Some projects focus on supplying appropriate system services to the users [4], [10], [13], [30], while others focus on the correct classification of activities [7], [24], [25], [28].”