Publications

2014 | 2013 | 2012 | 2011 | 2010 | 2009 | 2008 | 2007 | 2006 | 2005

2014 Publications

  • G. Sprint, D. Cook, and D. Weeks. Towards automating clinical assessments: A survey of the Timed Up and Go (TUG). IEEE Transactions on Reviews in Biomedical Engineering, to appear.
  • K. Feuz, D. Cook, C. Rasasco, K. Robertson, and M. Schmitter-Edgecombe. Automated detection of activity transitions for prompting. IEEE Transactions on Human Machine Systems, 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.
  • K. Robertson, C. Rosasco, K Feuz, D. Cook, and M. Schmitter-Edgecombe. Prompting technologies: Is prompting during activity transition more effective than time-based prompting? Archives of Clinical Neuropsychology, 29(6):598, 2014.
  • K. Feuz and D. Cook. Transfer learning via feature-space remapping. ACM Transactions on Intelligent Systems and Technology, to appear.
  • D. Cook and N. Krishnan. Mining the home environment. Journal of Intelligent Information Systems, to appear.
  • E. Nazerfard and D. Cook. CRAFFT: An activity prediction model based on Bayesian networks. Journal of Ambient Intelligence and Humanized Computing, to appear.
  • B. Das, N. Krishnan, and D. Cook. RACOG and wRACOG: Two probabilistic oversampling methods. IEEE Transactions on Knowledge and Data Engineering, to appear.
  • N. Krishnan and D. Cook. Activity recognition on streaming sensor data. Pervasive and Mobile Computing, 20:138-154, 2014.
  • M. Schmitter-Edgecombe and D. Cook. Smart homes for monitoring and assessing everyday functioning and for real-time intervention. In The Role of Technology in Clinical Neuropsychology, Oxford University Press, 2014.
  • P. Dawadi and D. Cook. Monitoring everyday abilities and cognitive health using pervasive technologies: Current state and prospect. In E. Wouters, J. van Hoof, and G. Demeris (Eds.), Handbook of Smart Homes, Health Care and Well Being, Springer, 2014.
  • G. Acampora, D. Cook, P. Rashidi, and A. Vasilakos. Healthcare data analytics. Data Analytics for Healthcare, C. Aggarwal and C. Reddy, editors, 2014.
  • B. Minor and D. Cook. Regression tree classification for activity prediction in smart homes. ACM International Joint Conference on Pervasive and Ubiquitous Computing, pages 441-450, 2014.
  • P. Dawadi, M. Schmitter-Edgecombe, and D. Cook. Smart home-based longitudinal functional assessment. ACM UbiComp Workshop on Smart Health Systems and Applications, 2014.
  • C. Simon, C. Cain, S. Hajiamini, R. Saeedi, M. Schmitter-Edgecombe, and D. Cook. Digital memory notebook: Experimental evaluation of motivational reward strategies. SmartHealthSys, 2014.
  • S. Bagaveyev and D. Cook. Designing and evaluating active learning methods for activity recognition. ACM International Joint Conference on Pervasive and Ubiquitous Computing, 2014.
  • G. Sprint, V. Borisov, D. Cook, and D. Weeks. Wearable sensors in ecological rehabilitation environments. ACM International Joint Conference on Pervasive and Ubiquitous Computing, 2014.

2013 Publications

2012 Publications

2011 Publications

2010 Publications

2009 Publications

2008 Publications

2007 Publications

2006 Publications

  • 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 Publications

  • 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.