Learning setting-generalized activity models for smart spaces

IEEE Intelligent Systems

Volumn 27, Issue 1, 2012, Pages 32-38

  Cook, Diane J ^a  

^a WASHINGTON STATE UNIVERSITY   (United States)

Author keywords

activity recognition; machine learning; pervasive computing; ubiquitous computing

Indexed keywords

ACTIVITY MODELS; ACTIVITY RECOGNITION; GENERALIZED MODELS; MACHINE-LEARNING; SMART HOMES; SMART SPACE;

AUTOMATION; INTELLIGENT BUILDINGS;

UBIQUITOUS COMPUTING;

EID: 84858239192     PISSN: 15411672     EISSN: None     Source Type: Journal    
DOI: 10.1109/MIS.2010.112     Document Type: Article

References (12)

1. V. Rialle et al., "What Do Family Caregivers of Alzheimer's Disease Patients Desire on Smart Home Technologies?", Methods of Information in Medicine, vol. 47, no. 1, 2008, pp. 63-69. (Pubitemid 351187624)
2. P. Rashidi and D. Cook, "Keeping the Resident in the Loop: Adapting the Smart Home to the User," IEEE Trans. Systems, Man, and Cybernetics, vol. 39, no. 5, 2009, pp. 949-959.
3. V. Wadley et al., "Mild Cognitive Impairment and Everyday Function: Evidence of Reduced Speed in Performing Instrumental Activities of Daily Living," Am. J. Geriatric Psychiatry, vol. 16, no. 5, 2008, pp. 416-424.
4. D. Cook and S. Das, eds., Smart Environments: Technology, Protocols, and Applications, Wiley, 2004.
5. U. Maurer et al., "Activity Recognition and Monitoring Using Multiple Sensors on Different Body Positions," Proc. Int'l Workshop Wearable and Implantable Body Sensor Networks, IEEE CS, 2006, pp. 99-102.
6. E. Munguia-Tapia, S.S. Intille, and K. Larson, "Activity Recognition in the Home Using Simple and Ubiquitous Sensors," Proc. Pervasive, LNCS 3001, Springer-Verlag, 2004, pp. 158-175.
7. D. Cook and M. Schmitter-Edgecombe, "Assessing the Quality of Activities in a Smart Environment," Methods Information in Medicine, vol. 48, no. 5, 2009, pp. 480-485.
8. L. Liao, D. Fox, and H. Kautz, "Location-Based Activity Recognition Using Relational Markov Networks," Proc. Int'l Joint Conf. Artificial Intelligence, ICJAI, 2005, pp. 773-778.
9. A. Viterbi, "Error Bounds for Convolutional Codes and an Asymptotically-Optimum Decoding Algorithm," IEEE Trans. Information Theory, vol. 13, no. 2, 1967, pp. 260-269.
10. A. McCallum, "Efficiently Inducing Features of Conditional Random Fields," Proc. of the Conf. Uncertainty in Artificial Intelligence, AUAI, 2003, pp. 403-410.
11. C.-X. Zhang and J.-S. Zhang, "A Local Boosting Algorithm for Solving Classification Problems," Computational Statistics and Data Analysis, vol. 52, no. 4, 2008, pp. 1928-1941. (Pubitemid 350051438)
12. Q. Yang, S. Pan, and V. Zheng, "Estimating Location Using Wi-Fi," IEEE Intelligent Systems, vol. 23, no. 1, 2008, pp. 8-13.