Chi2: Feature Selection and Discretization of Numeric Attributes
TAI '95 Proceedings of the Seventh International Conference on Tools with Artificial Intelligence
Layered Representations for Human Activity Recognition
ICMI '02 Proceedings of the 4th IEEE International Conference on Multimodal Interfaces
Indoor Navigation Using a Diverse Set of Cheap, Wearable Sensors
ISWC '99 Proceedings of the 3rd IEEE International Symposium on Wearable Computers
The description logic handbook: theory, implementation, and applications
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An introduction to variable and feature selection
The Journal of Machine Learning Research
Semantic Web in the Context Broker Architecture
PERCOM '04 Proceedings of the Second IEEE International Conference on Pervasive Computing and Communications (PerCom'04)
Recognition of dietary activity events using on-body sensors
Artificial Intelligence in Medicine
Composition and Generalization of Context Data for Privacy Preservation
PERCOM '08 Proceedings of the 2008 Sixth Annual IEEE International Conference on Pervasive Computing and Communications
Activity-Aware Computing for Healthcare
IEEE Pervasive Computing
Shadow attacks on users' anonymity in pervasive computing environments
Pervasive and Mobile Computing
Hybrid reasoning in the CARE middleware for context awareness
International Journal of Web Engineering and Technology
Evidential fusion of sensor data for activity recognition in smart homes
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
PERCOM '09 Proceedings of the 2009 IEEE International Conference on Pervasive Computing and Communications
Common sense based joint training of human activity recognizers
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
A hybrid discriminative/generative approach for modeling human activities
IJCAI'05 Proceedings of the 19th international joint conference on Artificial intelligence
Location-based activity recognition using relational Markov networks
IJCAI'05 Proceedings of the 19th international joint conference on Artificial intelligence
Learning situation models for providing context-aware services
UAHCI'07 Proceedings of the 4th international conference on Universal access in human-computer interaction: ambient interaction
The diet-aware dining table: observing dietary behaviors over a tabletop surface
PERVASIVE'06 Proceedings of the 4th international conference on Pervasive Computing
MIMOSA: context-aware adaptation for ubiquitous web access
Personal and Ubiquitous Computing
OWL 2 modeling and reasoning with complex human activities
Pervasive and Mobile Computing
Time handling for real-time progressive activity recognition
Proceedings of the 2011 international workshop on Situation activity & goal awareness
Reducing the sparsity of contextual information for recommender systems
Proceedings of the sixth ACM conference on Recommender systems
Mobile context inference using two-layered Bayesian networks for smartphones
Expert Systems with Applications: An International Journal
Complex activity recognition using context-driven activity theory and activity signatures
ACM Transactions on Computer-Human Interaction (TOCHI)
A probabilistic ontological framework for the recognition of multilevel human activities
Proceedings of the 2013 ACM international joint conference on Pervasive and ubiquitous computing
Building ubiquitous QoC-aware applications through model-driven software engineering
Science of Computer Programming
A survey on ontologies for human behavior recognition
ACM Computing Surveys (CSUR)
Ontology patterns for complex activity modelling
RuleML'13 Proceedings of the 7th international conference on Theory, Practice, and Applications of Rules on the Web
Journal of Ambient Intelligence and Smart Environments - Home-based Health and Wellness Measurement and Monitoring
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Human activity recognition is a challenging problem for context-aware systems and applications. Research in this field has mainly adopted techniques based on supervised learning algorithms, but these systems suffer from scalability issues with respect to the number of considered activities and contextual data. In this paper, we propose a solution based on the use of ontologies and ontological reasoning combined with statistical inferencing. Structured symbolic knowledge about the environment surrounding the user allows the recognition system to infer which activities among the candidates identified by statistical methods are more likely to be the actual activity that the user is performing. Ontological reasoning is also integrated with statistical methods to recognize complex activities that cannot be derived by statistical methods alone. The effectiveness of the proposed technique is supported by experiments with a complete implementation of the system using commercially available sensors and an Android-based handheld device as the host for the main activity recognition module.