A tutorial on hidden Markov models and selected applications in speech recognition
Readings in speech recognition
Mining association rules with multiple minimum supports
KDD '99 Proceedings of the fifth ACM SIGKDD international conference on Knowledge discovery and data mining
Learning Patterns of Activity Using Real-Time Tracking
IEEE Transactions on Pattern Analysis and Machine Intelligence
SPADE: an efficient algorithm for mining frequent sequences
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
The PSP Approach for Mining Sequential Patterns
PKDD '98 Proceedings of the Second European Symposium on Principles of Data Mining and Knowledge Discovery
MavHome: An Agent-Based Smart Home
PERCOM '03 Proceedings of the First IEEE International Conference on Pervasive Computing and Communications
An introduction to variable and feature selection
The Journal of Machine Learning Research
Improving Home Automation by Discovering Regularly Occurring Device Usage Patterns
ICDM '03 Proceedings of the Third IEEE International Conference on Data Mining
An Efficient Algorithm for Mining Frequent Sequences by a New Strategy without Support Counting
ICDE '04 Proceedings of the 20th International Conference on Data Engineering
BIDE: Efficient Mining of Frequent Closed Sequences
ICDE '04 Proceedings of the 20th International Conference on Data Engineering
Mining models of human activities from the web
Proceedings of the 13th international conference on World Wide Web
Mining Sequential Patterns by Pattern-Growth: The PrefixSpan Approach
IEEE Transactions on Knowledge and Data Engineering
Smart Environments: Technology, Protocols and Applications (Wiley Series on Parallel and Distributed Computing)
Inferring Activities from Interactions with Objects
IEEE Pervasive Computing
Automatic detection of interaction groups
ICMI '05 Proceedings of the 7th international conference on Multimodal interfaces
Introduction to Data Mining, (First Edition)
Introduction to Data Mining, (First Edition)
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
PAID: Mining Sequential Patterns by Passed Item Deduction in Large Databases
IDEAS '06 Proceedings of the 10th International Database Engineering and Applications Symposium
Constraint-based sequential pattern mining: the pattern-growth methods
Journal of Intelligent Information Systems
Online Sequential Prediction via Incremental Parsing: The Active LeZi Algorithm
IEEE Intelligent Systems
Distributed Healthcare: Simultaneous Assessment of Multiple Individuals
IEEE Pervasive Computing
Adaptive, hands-off stream mining
VLDB '03 Proceedings of the 29th international conference on Very large data bases - Volume 29
Conditional random fields for activity recognition
Proceedings of the 6th international joint conference on Autonomous agents and multiagent systems
A review of smart homes-Present state and future challenges
Computer Methods and Programs in Biomedicine
Activity recognition from interactions with objects using dynamic Bayesian network
Proceedings of the 3rd ACM International Workshop on Context-Awareness for Self-Managing Systems
PERCOM '09 Proceedings of the 2009 IEEE International Conference on Pervasive Computing and Communications
Location-based activity recognition using relational Markov networks
IJCAI'05 Proceedings of the 19th international joint conference on Artificial intelligence
Keeping the resident in the loop: adapting the smart home to the user
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Toward unsupervised activity discovery using multi-dimensional motif detection in time series
IJCAI'09 Proceedings of the 21st international jont conference on Artifical intelligence
Object relevance weight pattern mining for activity recognition and segmentation
Pervasive and Mobile Computing
Motif Discovery and Feature Selection for CRF-based Activity Recognition
ICPR '10 Proceedings of the 2010 20th International Conference on Pattern Recognition
Discovering Activities to Recognize and Track in a Smart Environment
IEEE Transactions on Knowledge and Data Engineering
Unsupervised discovery of structure in activity data using multiple eigenspaces
LoCA'06 Proceedings of the Second international conference on Location- and Context-Awareness
Toward scalable activity recognition for sensor networks
LoCA'06 Proceedings of the Second international conference on Location- and Context-Awareness
Online algorithms for mining inter-stream associations from large sensor networks
PAKDD'05 Proceedings of the 9th Pacific-Asia conference on Advances in Knowledge Discovery and Data Mining
Unsupervised recognition of ADLs
SETN'10 Proceedings of the 6th Hellenic conference on Artificial Intelligence: theories, models and applications
Health-status monitoring through analysis of behavioral patterns
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Paper: Modeling by shortest data description
Automatica (Journal of IFAC)
Error bounds for convolutional codes and an asymptotically optimum decoding algorithm
IEEE Transactions on Information Theory
ACM Transactions on Management Information Systems (TMIS) - Special Issue on Informatics for Smart Health and Wellbeing
Constructing the Web of Events from raw data in the Web of Things
Mobile Information Systems - Internet of Things
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The increasing aging population in the coming decades will result in many complications for society and in particular for the healthcare system due to the shortage of healthcare professionals and healthcare facilities. To remedy this problem, researchers have pursued developing remote monitoring systems and assisted living technologies by utilizing recent advances in sensor and networking technology, as well as in the data mining and machine learning fields. In this article, we report on our fully automated approach for discovering and monitoring patterns of daily activities. Discovering and tracking patterns of daily activities can provide unprecedented opportunities for health monitoring and assisted living applications, especially for older adults and individuals with mental disabilities. Previous approaches usually rely on preselected activities or labeled data to track and monitor daily activities. In this article, we present a fully automated approach by discovering natural activity patterns and their variations in real-life data. We will show how our activity discovery component can be integrated with an activity recognition component to track and monitor various daily activity patterns. We also provide an activity visualization component to allow caregivers to visually observe and examine the activity patterns using a user-friendly interface. We validate our algorithms using real-life data obtained from two apartments during a three-month period.