A formal theory of plan recognition
A formal theory of plan recognition
Understanding and Using Context
Personal and Ubiquitous Computing
Dynamic bayesian networks: representation, inference and learning
Dynamic bayesian networks: representation, inference and learning
Ontology Based Context Modeling and Reasoning using OWL
PERCOMW '04 Proceedings of the Second IEEE Annual Conference on Pervasive Computing and Communications Workshops
Layered representations for learning and inferring office activity from multiple sensory channels
Computer Vision and Image Understanding - Special issue on event detection in video
The Knowledge Engineering Review
Activity Recognition and Abnormality Detection with the Switching Hidden Semi-Markov Model
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 1 - Volume 01
Situation Determination with Reusable Situation Specifications
PERCOMW '06 Proceedings of the 4th annual IEEE international conference on Pervasive Computing and Communications Workshops
Hierarchical Situation Modeling and Reasoning for Pervasive Computing
SEUS-WCCIA '06 Proceedings of the The Fourth IEEE Workshop on Software Technologies for Future Embedded and Ubiquitous Systems, and the Second International Workshop on Collaborative Computing, Integration, and Assurance (SEUS-WCCIA'06)
Software—Practice & Experience
Situations in Conceptual Modeling of Context
EDOCW '06 Proceedings of the 10th IEEE on International Enterprise Distributed Object Computing Conference Workshops
Data Mining: Practical Machine Learning Tools and Techniques, Second Edition (Morgan Kaufmann Series in Data Management Systems)
Extracting Places and Activities from GPS Traces Using Hierarchical Conditional Random Fields
International Journal of Robotics Research
A Possibility-Theoretic View of Formal Concept Analysis
Fundamenta Informaticae - New Frontiers in Scientific Discovery - Commemorating the Life and Work of Zdzislaw Pawlak
Unsupervised clustering of ambulatory audio and video
ICASSP '99 Proceedings of the Acoustics, Speech, and Signal Processing, 1999. on 1999 IEEE International Conference - Volume 06
Resolving uncertainty in context integration and abstraction: context integration and abstraction
Proceedings of the 5th international conference on Pervasive services
Accurate activity recognition in a home setting
UbiComp '08 Proceedings of the 10th international conference on Ubiquitous computing
Dealing with sensor displacement in motion-based onbody activity recognition systems
UbiComp '08 Proceedings of the 10th international conference on Ubiquitous computing
Improving the recognition of interleaved activities
UbiComp '08 Proceedings of the 10th international conference on Ubiquitous computing
Review: Ambient intelligence: Technologies, applications, and opportunities
Pervasive and Mobile Computing
Context-Aware Activity Recognition through a Combination of Ontological and Statistical Reasoning
UIC '09 Proceedings of the 6th International Conference on Ubiquitous Intelligence and Computing
Using situation lattices in sensor analysis
PERCOM '09 Proceedings of the 2009 IEEE International Conference on Pervasive Computing and Communications
Handbook of Ambient Intelligence and Smart Environments
Handbook of Ambient Intelligence and Smart Environments
Human-behaviour study with situation lattices
SMC'09 Proceedings of the 2009 IEEE international conference on Systems, Man and Cybernetics
Developing context-aware pervasive computing applications: Models and approach
Pervasive and Mobile Computing
A long-term evaluation of sensing modalities for activity recognition
UbiComp '07 Proceedings of the 9th international conference on Ubiquitous computing
A linguistic truth-valued uncertainty reasoning model based on lattice-valued logic
FSKD'05 Proceedings of the Second international conference on Fuzzy Systems and Knowledge Discovery - Volume Part I
Treating incomplete knowledge in formal concept analysis
Formal Concept Analysis
Review: Situation identification techniques in pervasive computing: A review
Pervasive and Mobile Computing
An evidential fusion approach for activity recognition in ambient intelligence environments
Robotics and Autonomous Systems
Mobile application usage prediction through context-based learning
Journal of Ambient Intelligence and Smart Environments
Journal of Ambient Intelligence and Smart Environments - Design and Deployment of Intelligent Environments
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Studying human activities has significant implication in human beneficial applications such as personal healthcare. This research has been facilitated by the development of sensor technologies in pervasive computing with a large quantity of observational data collected about environments and user actions. By mining these data, traditional machine learning techniques have made great progress in recognising activities, but due to the increasing number of sensors and complexity of activities, they are subject to feasibility and scalability. These techniques may benefit from the inclusion of semantic information about the nature and relationships of sensor data and activities being observed. We introduce a new data structure, the context lattice, which allows designers to capture and explore this sort of knowledge. We demonstrate how context lattices can be used to infer human activities with the inclusion of such knowledge. We present comprehensive evaluations of the system against two third-party smart-home data sets, and demonstrate that our approach compares favourably with traditional analytic techniques in many circumstances. We conclude with a discussion of the strengths and weaknesses of context lattices in activity recognition.