Stochastic Complexity in Statistical Inquiry Theory
Stochastic Complexity in Statistical Inquiry Theory
Evaluation of hierarchical clustering algorithms for document datasets
Proceedings of the eleventh international conference on Information and knowledge management
Mining hybrid sequential patterns and sequential rules
Information Systems
Knowledge Acquisition Via Incremental Conceptual Clustering
Machine Learning
ICDE '95 Proceedings of the Eleventh International Conference on Data Engineering
PrefixSpan: Mining Sequential Patterns by Prefix-Projected Growth
Proceedings of the 17th International Conference on Data Engineering
Clustering Validity Assessment: Finding the Optimal Partitioning of a Data Set
ICDM '01 Proceedings of the 2001 IEEE International Conference on Data Mining
Improving Home Automation by Discovering Regularly Occurring Device Usage Patterns
ICDM '03 Proceedings of the Third IEEE International Conference on Data Mining
Inferring Activities from Interactions with Objects
IEEE Pervasive Computing
Estimating the Support of a High-Dimensional Distribution
Neural Computation
Activity Recognition and Monitoring Using Multiple Sensors on Different Body Positions
BSN '06 Proceedings of the International Workshop on Wearable and Implantable Body Sensor Networks
Constraint-based sequential pattern mining: the pattern-growth methods
Journal of Intelligent Information Systems
Bridging centrality: graph mining from element level to group level
Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining
IEEE Transactions on Knowledge and Data Engineering
A Unified Framework for Gesture Recognition and Spatiotemporal Gesture Segmentation
IEEE Transactions on Pattern Analysis and Machine 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 in a smart home
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics - Special issue on human computing
Exploratory undersampling for class-imbalance learning
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Object relevance weight pattern mining for activity recognition and segmentation
Pervasive and Mobile Computing
Human Activity Recognition and Pattern Discovery
IEEE Pervasive Computing
A long-term evaluation of sensing modalities for activity recognition
UbiComp '07 Proceedings of the 9th international conference on Ubiquitous computing
An unsupervised approach to activity recognition and segmentation based on object-use fingerprints
Data & Knowledge Engineering
An activity monitoring system for elderly care using generative and discriminative models
Personal and Ubiquitous Computing
Discovering Activities to Recognize and Track in a Smart Environment
IEEE Transactions on Knowledge and Data Engineering
LIBSVM: A library for support vector machines
ACM Transactions on Intelligent Systems and Technology (TIST)
Activity recognition using cell phone accelerometers
ACM SIGKDD Explorations Newsletter
Cross-domain activity recognition via transfer learning
Pervasive and Mobile Computing
IEEE Transactions on Pattern Analysis and Machine Intelligence
Toward scalable activity recognition for sensor networks
LoCA'06 Proceedings of the Second international conference on Location- and Context-Awareness
A hierarchical approach to real-time activity recognition in body sensor networks
Pervasive and Mobile Computing
Discovering frequent user--environment interactions in intelligent environments
Personal and Ubiquitous Computing
Transferring knowledge of activity recognition across sensor networks
Pervasive'10 Proceedings of the 8th international conference on Pervasive Computing
Hierarchical activity recognition using automatically clustered actions
AmI'11 Proceedings of the Second international conference on Ambient Intelligence
Learning Setting-Generalized Activity Models for Smart Spaces
IEEE Intelligent Systems
Health-status monitoring through analysis of behavioral patterns
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
A comparison of methods for multiclass support vector machines
IEEE Transactions on Neural Networks
Simple and Complex Activity Recognition through Smart Phones
IE '12 Proceedings of the 2012 Eighth International Conference on Intelligent Environments
Activity recognition on streaming sensor data
Pervasive and Mobile Computing
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Many intelligent systems that focus on the needs of a human require information about the activities that are being performed by the human. At the core of this capability is activity recognition. Activity recognition techniques have become robust but rarely scale to handle more than a few activities. They also rarely learn from more than one smart home data set because of inherent differences between labeling techniques. In this paper we investigate a data-driven approach to creating an activity taxonomy from sensor data found in disparate smart home datasets. We investigate how the resulting taxonomy can help analyze the relationship between classes of activities. We also analyze how the taxonomy can be used to scale activity recognition to a large number of activity classes and training datasets. We describe our approach and evaluate it on 34 smart home datasets. The results of the evaluation indicate that the hierarchical modeling can reduce training time while maintaining accuracy of the learned model.