Understanding and Using Context
Personal and Ubiquitous Computing
Perceptual Components for Context Aware Computing
UbiComp '02 Proceedings of the 4th international conference on Ubiquitous Computing
Non-parametric Similarity Measures for Unsupervised Texture Segmentation and Image Retrieval
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
Learning to Detect User Activity and Availability from a Variety of Sensor Data
PERCOM '04 Proceedings of the Second IEEE International Conference on Pervasive Computing and Communications (PerCom'04)
Multimodal group action clustering in meetings
Proceedings of the ACM 2nd international workshop on Video surveillance & sensor networks
Managing Adaptive Versatile Environments
PERCOM '05 Proceedings of the Third IEEE International Conference on Pervasive Computing and Communications
Supervised learning of an abstract context model for an intelligent environment
Proceedings of the 2005 joint conference on Smart objects and ambient intelligence: innovative context-aware services: usages and technologies
Deterministic and Probabilistic Implementation of Context
PERCOMW '06 Proceedings of the 4th annual IEEE international conference on Pervasive Computing and Communications Workshops
Reality mining: sensing complex social systems
Personal and Ubiquitous Computing
Automatic Acquisition of Context Models and its Application to Video Surveillance
ICPR '06 Proceedings of the 18th International Conference on Pattern Recognition - Volume 01
Intelligibility and accountability: human considerations in context-aware systems
Human-Computer Interaction
Learning situation models in a smart home
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics - Special issue on human computing
Head Pose estimation on low resolution images
CLEAR'06 Proceedings of the 1st international evaluation conference on Classification of events, activities and relationships
The lumière project: Bayesian user modeling for inferring the goals and needs of software users
UAI'98 Proceedings of the Fourteenth conference on Uncertainty in artificial intelligence
Modeling individual and group actions in meetings with layered HMMs
IEEE Transactions on Multimedia
Visual tracking and recognition using appearance-adaptive models in particle filters
IEEE Transactions on Image Processing
Capacitive indoor positioning and contact sensing for activity recognition in smart homes
Journal of Ambient Intelligence and Smart Environments
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Smart environments enhance user capabilities and comfort by providing new services and automated service execution based on sensed user activity. Though, when becoming really “smart”, such environments should not only provide some service automation, but further learn and adapt their behavior during use. This article motivates and investigates learning of situation models in a smart environment, covering knowledge acquisition from observation as well as evolving situation models during use. An integral framework for acquiring and evolving different layers of a situation model is detailed. Different learning methods are presented as part of this framework: role detection per entity, unsupervised extraction of situations from multimodal data, supervised learning of situation representations, and the evolution of a predefined situation model with feedback. The situation model serves as frame and support for the different methods, permitting to stay in an intuitive declarative framework. An implementation of the whole framework for a smart home environment is described, and the results of several evaluations are depicted.