CASAS Publications

2013

• D. Cook, A. Crandall, B. Thomas, and N. Krishnan. CASAS: A smart home in a box. IEEE Computer, to appear.
• P. Dawadi, D. Cook, and M. Schmitter-Edgecombe. Automated cognitive health assessment using smart home smart monitoring of complex tasks. IEEE Transactions on Human-Machine Systems, to appear.
  Data used for this study.
• A. Seelye, M. Schmitter-Edgecombe, D. Cook, and A. Crandall. Smart environment prompting technologies for everyday activities in mild cognitive impairment. Journal of the International Neuropsychological Society, to appear.
• D. Cook, N. Krishnan, and P. Rashidi. Activity discovery and activity recognition: A new partnership. IEEE Transactions on Systems, Man, and Cybernetics, Part B, to appear.
• N. Krishnan and D. Cook. Activity recognition on streaming sensor data. Pervasive and Mobile Computing, to appear.
• D. De, W.Z. Song, S. Tang, D. Cook, and S. Das. Activity-aware sensor network in smart environments. Pervasive and Mobile Computing, to appear.
• D. Cook, N. Krishnan and Z. Wemlinger. Learning a taxonomy of predefined and discovered activity patterns. Journal of Ambient Intelligence and Smart Environments, to appear.
• D. Cook, K. Feuz, and N. Krishnan. Transfer learning for activity recognition: A survey. Knowledge and Information Systems, to appear.

2012

• B. Das, D. Cook, M. Schmitter-Edgecombe, and A. Seelye. PUCK: An automated prompting system for smart environments. Personal and Ubiquitous Computing, 16(7):859-873, 2012.
• A. Seelye, M. Schmitter-Edgecombe, B. Das, and D. Cook. Application of cognitive rehabilitation theory to the development of smart prompting technologies. Reviews in Biomedical Engineering, 5:29-44, 2012.
• A. Aztiria, J. Augusto, and D. Cook. Discovering frequent user-environment interactions in intelligent environments. Personal and Ubiquitous Computing, 16(1):91-103, 2012.
• D. De, W. Song, S. Tang, D. Cook, and S. Das. Activity-aware sensor network in smart environments. Journal of Pervasive and Mobile Computing, to appear.
• D. Cook. How smart is your home? Science, 335:1579-1581, 2012. (Summary)
• D. Cook. Learning setting-generalized activity models for smart spaces. IEEE Intelligent Systems, 27(1):32-38, 2012.
• D. Cook and S. Das. Pervasive computing at scale: Transforming the state of the art. Journal of Pervasive and Mobile Computing, 8(1):22-35, 2012.
• B. Das, N. Krishnan, and D. Cook. Automated activity interventions to asist with activities of daily living. Agents and Ambient Intelligence, IOS Press, 2012.
• D. De, W. Song, and D. Cook. FindingHuMo: Real-time tracking of motion trajectories from anonymous binary sensing in smart environments. Proceedings of the International Conference on Distributed Computing Systems, 2012.
• L. Zulas, A. Crandall, M. Schmitter-Edgecombe, and D. Cook. Caregiver needs from elder care assistive smart homes: Nursing assessment. Proceedings of the International Conference of the Human Factors and Ergonomics Society, 2012.
• A. Crandall, L. Zulas, N. Krishnan, K. Feuz, and D. Cook. Visualizing your ward: Bringing smart home data to caregivers. Proceedings of the CHI Workshop on Emerging Technologies for Healthcare and Aging, 2012.
• B. Das, A. Seelye, B. Thomas, D. Cook, L. Holder, and M. Schmitter-Edgecombe. Using smart phones for context-aware prompting in smart environments. Proceedings of the CCNC CeHPSA Workshop, 2012.
• A. Crandall and D. Cook. Smart home in a box: A large scale smart home deployment. Proceedings of the Workshop on Large Scale Intelligent Environments, 2012.
• E. Nazerfard and D. Cook. Bayesian network structure learning for activity prediction in smart homes. Proceedings of the International Conference on Intelligent Environments, 2012.
• S. Dernbach, B. Das, N. Krishnan, B. Thomas, and D. Cook. Simple and complex activity recognition through smart phones. Proceedings of the International Conference on Intelligent Environments, 2012.
• C. Chen and D. Cook. Behavior-based home energy prediction. Proceedings of the International Conference on Intelligent Environments, 2012.

2011

• M. Schmitter-Edgecombe, C. Parsey, and D. Cook. Cognitive correlates of functional performance in older adults: Comparison of self-report, direct observation and performance-based measures. Journal of the International Neuropsychological Society, 17(5):853-864, 2011.
• D. Cook, M. Schmitter-Edgecombe, and L. Holder. Gerontechnology education: Beyond the barriers. IEEE Pervasive Computing, 2011.
• D. Cook and L. Holder. Sensor selection to support practical use of health-monitoring smart environments. Data Mining and Knowledge Discovery, 10:1-13, 2011.
• P. Rashidi, D. Cook, L. Holder, and M. Schmitter-Edgecombe. Discovering activities to recognize and track in a smart environment. IEEE Transactions on Knowledge and Data Engineering, 23(4):527-539, 2011.
• P. Rashidi and D. Cook. Activity knowledge transfer in smart environments. Journal of Pervasive and Mobile Computing, special issue on activity recognition, 7(3):331-343, 2011.
• P. Rashidi and D. Cook. Ask me better questions: Active learning queries based on rule induction. Proceedings of the International Conference on Knowledge Discovery and Data Mining, 2011.
• P. Dawadi, D. Cook, C. Parsey, M. Schmitter-Edgecombe, and M. Schneider. Ask me better questions: An approach to cognitive assessment in smart home. KDD Workshop on Medicine and Healthcare, 2011.
• C. Chen and D. Cook. Energy outlier detection in smart environments. Proceedings of the AAAI Workshop on Artificial Intelligence and Smarter Living: The Conquest of Complexity, 2011.
• V. Jakkula and D. Cook. Detecting anomalous sensor events in smart home data for enhancing the living experience. Proceedings of the AAAI Workshop on Artificial Intelligence and Smarter Living: The Conquest of Complexity, 2011.
• B. Das and D. Cook. Data mining challenges in automated prompting systems. Workshop on Interaction with Smart Objects, 2011.
• P. Rashidi and D. Cook. Domain selection and adaptation in smart homes. Proceedings of the International Conference on Smart Homes and Health Telematics, 2011.
• B. Das and D. Cook. An automated prompting system for smart environments. Proceedings of the International Conference on Smart Homes and Health Telematics, 2011.
• E. Nazerfard, P. Rashidi, and D. Cook. Using association rule mining to discover temporal relations of daily activities. Proceedings of the International Conference on Smart Homes and Health Telematics, 2011.
• B. Thomas and A. Crandall. A demonstration of PyViz, a flexible smart home visualization tool. Proceedings of the IEEE Conference on Pervasive Computing and Communication, 2011.
• Y. Sahaf, N. Krishnan, and D. Cook. Defining the complexity of an activity. Proceedings of the AAAI Workshop on Activity Context Representation: Techniques and Languages, 2011.
• C. Chen and P. Dawadi CASASViz: Web-based visualization of behavior patterns in smart environments. Proceedings of the IEEE Conference on Pervasive Computing and Communication, 2011.

2010

• D. Cook, A. Crandall, G. Singla, and B. Thomas. Detection of social interaction in smart spaces. Journal of Cybernetics and Systems, special issue on social awareness in smart spaces, 41(2):90-104, 2010.
• S. Deleawe, J. Kusznir, B. Lamb, and D. Cook. Predicting air quality in smart environments. Journal of Ambient Intelligence and Smart Environments, 2(2):145-154, 2010.
• E. Kim, S. Helal, and D. Cook. Human activity recognition and pattern discovery. IEEE Pervasive Computing, 9(1):48-53, 2010.
• G. Singla, D. Cook, and M. Schmitter-Edgecombe, Recognizing independent and joint activities among multiple residents in smart environments. Ambient Intelligence and Humanized Computing Journal, 1(1):57-63, 2010.
• A. Crandall and D. Cook. Tracking systems for multiple smart home residents. Human Behavior Recognition Technologies, IGI Global, 2010.
• C. Chen and D. Cook. Novelty detection in human behavior through analysis of energy utilization. Human Behavior Recognition Technologies, IGI Global, 2010.
• P. Rashidi and D. Cook. Mining sensor streams for discovering human activity patterns over time. Proceedings of the IEEE International Conference on Data Mining, 2010.
• P. Rashidi and D. Cook. Mining and monitoring patterns of daily routines for assisted living in real world settings. Proceedings of the ACM International Health Informatics Symposium, 2010.
• E. Nazerfard, L. Holder, and D. Cook. Conditional random fields for activity recognition in smart environments. Proceedings of the ACM International Health Informatics Symposium, 2010.
• P. Rashidi and D. Cook. Multi home transfer learning for resident activity discovery and recognition. Proceedings of the International workshop on Knowledge Discovery from Sensor Data, 2010.
• C. Chen, B. Das, and D. Cook. Energy prediction based on resident's activity. Proceedings of the International workshop on Knowledge Discovery from Sensor Data, 2010.
• R. Srinivasan, C. Chen, and D. Cook. Activity recognition using actigraph sensor. Proceedings of the International workshop on Knowledge Discovery from Sensor Data, 2010.
• P. Rashidi and D. Cook. An adaptive sensor mining framework for pervasive computing applications. Lecture Notes in Computer Science, 5840:154-174, 2010.
• P. Rashidi and D. Cook. Home to home transfer learning. Proceedings of the AAAI Plan, Activity, and Intent Recognition Workshop, 2010.
• J. Kusznir and D. Cook. Designing lightweight software architectures for smart environments. Proceedings of the International Conference on Intelligent Environments, 2010.
• C. Chen, B. Das, and D. Cook. A data mining framework for activity recognition in smart environments. Proceedings of the International Conference on Intelligent Environments, 2010.
• A. Crandall and D. Cook. Using a hidden Markov model for resident identification. Proceedings of the International Conference on Intelligent Environments, 2010.
• A. Aztiria and D. Cook. Automatic modeling of frequent user behaviours in intelligent environments. Proceedings of the International Conference on Intelligent Environments, 2010.
• V. Jakkula and D. Cook. Outlier detection in smart environment structured power datasets. Proceedings of the International Conference on Intelligent Environments, 2010.
• A. Elfaham, H. Hagras, S. Helal, H. Shantonu, J. Lee, and D. Cook. A fuzzy based verification agent for the PerSim human activity simulator in ambient intelligence environments. Proceedings of the IEEE International Conference on Fuzzy Systems, 2010.

2009

• P. Rashidi and D. Cook. 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, 39(5):949-959, 2009.
• D. Cook, H. Hagras, V. Callaghan, and A. Helal, Making our environments intelligent. Journal of Pervasive and Mobile Computing, 5:556-557, 2009.
• A. Crandall and D. Cook. Coping with multiple residents in a smart environment. Journal of Ambient Intelligence and Smart Environments, 1(4):323-334, 2009.
• S. Szewcyzk, K. Dwan, B. Minor, B. Swedlove, and D. Cook, Annotating smart environment sensor data for activity learning. Technology and Health Care, special issue on Smart Environments: Technology to support health care, 2009.
• G. Singla, D. Cook, and M. Schmitter-Edgecombe, Tracking activities in complex settings using smart environment technologies. International Journal of BioSciences, Psychiatry and Technology, 1(1):25-35, 2009.
• D. Cook. J. Augusto, and V. Jakkula. Ambient intelligence: Technologies, applications, and opportunities. Journal of Pervasive and Mobile Computing, 5(4):277-298, 2009.
• D. Cook and M. Schmitter-Edgecombe. Assessing the quality of activities in a smart environment. Methods of Information in Medicine, 2009.
• D. Cook and W. Song. Ambient intelligence and wearable computing: Sensors on the body, in the home, and beyond. Journal of Ambient Intelligence and Smart Environments, 3:1-4, 2009.
• D. Cook, Multi-agent smart environments. Journal of Ambient Intelligence and Smart Environments, 1:47-51, 2009.
• D. Brezeale and D. Cook, Learning video preferences using visual features and closed captions. IEEE Multimedia, 16(3):39-47, 2009.
• D. Cook and A. Crandall, Learning activity models for multiple agents in a smart space. Handbook of Ambient Intelligence and Smart Environments, Elsevier, 2009.
• A. Mendez-Vazquez, S. Helal, and D. Cook. Simulating events to generate synthetic data for pervasive spaces. Proceedings of the CHI Workshop on Developing Shared Home Behavior Datasets to Advance HCI and Ubiquitous Computing Research, 2009.
• D. Cook, M. Schmitter-Edgecombe, A. Crandall, C. Sanders, and B. Thomas. Collecting and disseminating smart home sensor data in the CASAS project. Proceedings of the CHI Workshop on Developing Shared Home Behavior Datasets to Advance HCI and Ubiquitous Computing Research, 2009.
• G. Singla and D. Cook. Interleaved activity recognition for smart environments. Proceedings of the International Conference on Intelligent Environments, 2009.
• P. Rashidi and D. Cook. Transferring learned activities in smart environments. Proceedings of the International Conference on Intelligent Environments, 2009.

2008

• A. Helal, M. Schmalz, and D. Cook. Smart home-based health platform for behavioral monitoring and alteration of diabetes patients. Journal of Diabetes Science and Technology, 3(1):1-8, 2008.
• V. Jakkula and D. Cook. Anomaly detection using temporal data mining in a smart home environment. Methods of Information in Medicine, 2008.
• D. Brezeale and D. Cook. Automatic video classification: A survey of the literature. IEEE Transactions on Systems, Man, and Cybernetics, Part C, 2008.
• V. Jakkula and D. J. Cook. Enhancing smart home algorithms using temporal relations. Technology and Aging, IOS Press, 2008.
• V. Jakkula, A. Crandall, and D. J. Cook. Enhancing anomaly detection using temporal pattern discovery. Advanced Intelligent Environments, Springer, 2008.
• P. Rashidi and D. Cook. An adaptive sensor mining model for pervasive computing applications. Proceedings of the KDD Workshop on Knowledge Discovery from Sensor Data, 2008.
• A. Aztiria, J. Augusto, A. Izaguirre, and D. Cook. Learning accurate temporal relations from user actions in intelligent environments. Proceedings of the Symposium of Ubiquitous Computing and Ambient Intelligence, 2008.
• P. Rashidi and D. Cook. Adapting to resident preferences in smart environments. Proceedings of the AAAI Workshop on Advances in Preference Handling, pages 78-84, 2008.
• G.Singla, D. Cook, and M. Schmitter-Edgecombe. Incorporating temporal reasoning into activity recognition for smart home residents. Proceedings of the AAAI Workshop on Spatial and Temporal Reasoning, pages 53-61, 2008.
• S. Lockwood and D. Cook. Computer, light on!. Proceedings of the International Conference on Intelligent Environments, 2008.
• A. Crandall and D. Cook. Attributing events to individuals in multi-inhabitant environments. Proceedings of the International Conference on Intelligent Environments, 2008.
• P. Rashidi and D. Cook. Keeping the intelligent environment resident in the loop. Proceedings of the International Conference on Intelligent Environments, 2008.

2007

• D. Cook, L. Holder, and G. M. Youngblood. Graph-based analysis of human transfer learning using a game testbed. IEEE Transactions on Knowledge and Data Engineering, 19(11):1-14, 2007.
• K. Gopalratnam and D. Cook. Online sequential prediction via incremental parsing: The Active LeZi algorithm. IEEE Intelligent Systems, 22(1), 2007.
• G. M. Youngblood and D. Cook. Data mining for hierarchical model creation. IEEE Transactions on Systems, Man, and Cybernetics, Part C, 37(4):561-572, 2007.
• D. Cook and S. K. Das. How smart are our environments? An updated look at the state of the art. Journal of Pervasive and Mobile Computing, 2007.
• D. Cook. Making sense of sensor data. IEEE Pervasive Computing, 2007.
• V. Jakkula and D. Cook. Prediction models for a smart home based health care system. Proceedings of the First International Workshop on Smart Homes for Tele-Health, 2007.
• V. Jakkula, A. Crandall, and D. Cook. Knowledge discovery in entity based smart environment resident data using temporal relations based data mining. Proceedings of the ICDM Workshop on Spatial and Spatio-Temporal Data Mining, 2007.
• V. Jakkula and D. Cook. Mining sensor data in smart environments for temporal activity prediction. Proceedings of the First International Workshop on Knowledge Discovery from Sensor Data, 2007.
• V. Jakkula and D. Cook. Temporal pattern discovery for anomaly detection in smart homes. Proceedings of the International Conference on Intelligent Environments, 2007.
• V. Jakkula and D. Cook. Using temporal relations in smart home data for activity prediction. Proceedings of the ICML Workshop on the Induction of Process Models, 2007.
• V. Jakkula and D. Cook. Learning temporal relations in smart home data. Proceedings of the Second International Conference on Technology and Aging, 2007.
• V. Jakkula and D. Cook. Prediction models for a smart home based health care system. Proceedings of the First International Workshop on Smart Homes for Tele-Health, 2007.
• P. Rashidi, G. M. Youngblood, D. Cook, and S. Das. Inhabitant guidance of smart environments. Proceedings of the International Conference on Human-Computer Interaction, 2007.
• D. J. Cook, G. M. Youngblood, and G. Jain. Algorithms for smart spaces. The Engineering Handbook on Smart Technology for Aging, Disability and Independence, A. Helal, M. Mokhtari and B. Abdulrazak, Editors, John Wiley and Sons, 2007.

2006

• D. Cook. Health monitoring and assistance to support aging in place. Journal of Universal Computer Science, 12(1), pages 15-29, 2006.
• C.-C Tseng and D. Cook. Mining from time series human movement data. Proceedings of the Conference on Systems, Man, and Cybernetics, 2006.
• V. Jakkula, M. Youngblood, and D. Cook. Identification of lifestyle behavior patterns with prediction of the happiness of an inhabitant in a smart home. Proceedings of the AAAI Workshop on Computational Aesthetics, 2006.
• G. Jain, D. Cook, and V. Jakkula. Monitoring health by detecting drifts and outliers for a smart environment inhabitant. Proceedings of the International Conference On Smart Homes and Health Telematics, 2006.
• S. Das and D. Cook. Designing and modeling smart environments. Proceedings of the Workshop on Autonomic Computing and Communications, 2006.
• D. Brezeale and D. Cook. Using closed caption and visual features to classify movies by genre. Proceedings of the KDD/MDM Workshop, 2006.
• D. Cook, G. M. Youngblood, and G. Jain. Algorithms for smart spaces. Technology for Aging, Disability and Independence: Computer and Engineering for Design and Applications, Wiley, 2006.
• D. Cook, G. M. Youngblood, and S. K. Das. A multi-agent approach to controlling a smart environment. AI and Smart Homes, pages 165-182, Springer Verlag, 2006.
• S. K. Das and D. Cook. Smart Home Environments: A paradigm based on learning and prediction. Wireless Mobile and Sensor Networks: Technology, Applications and Future Directions. (R. Shorey, A. Ananda, M. C. Chan, and W. T. Ooi, eds.), pages 337-356, Wiley, 2006.

2005

• M. Youngblood, D. Cook, and L. Holder. Managing adaptive versatile environments. Journal of Pervasive and Mobile Computing, 2005.
• M. Youngblood, D. Cook, and L. Holder. Managing adaptive versatile environments. Proceedings of the IEEE International Conference on Pervasive Computing and Communications, 2005.
• S. K. Das and D. Cook. Designing smart environments: A paradigm based on learning and prediction. Proceedings of First International Conference on Pattern Recognition and Machine Intelligence (PReMI'05), Kolkata, India, Dec 18-22, 2005.
• M. Youngblood, D. Cook, L. Holder and E. Heierman. Automation intelligence for the smart environment. Proceedings of the International Joint Conference on Artificial Intelligence, 2005.
• M. Youngblood, L. Holder, and D. Cook. A learning architecture for automating the intelligent environment. Proceedings of the Conference on Innovative Applications of Artificial Intelligence, 2005.
• S. K. Das and D. Cook. Smart home environments: A paradigm based on learning and prediction, Wireless Mobile and Sensor Networks, Wiley, 2005.