Modeling human activity semantics for improved recognition performance

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 6905 LNCS, Issue , 2011, Pages 514-528

  Kim, Eunju ^a   Helal, Sumi ^a  

^a University of Florida   (United States)

Author keywords

Accuracy and Certainty; Activity Modeling; Activity Recognition; Activity Semantic Knowledge; Generic Activity Framework

Indexed keywords

ACCURACY AND CERTAINTY; ACTIVITIES OF DAILY LIVING; ACTIVITY MODELS; ACTIVITY RECOGNITION; ACTIVITY THEORY; COMPARISON STUDY; COMPLEX NATURE; GENERIC ACTIVITY FRAMEWORK; HIERARCHICAL COMPOSITION; HIERARCHICAL MODEL; HUMAN ACTIVITIES; MODELING TECHNIQUE; RECOGNITION PERFORMANCE; SEMANTIC MODEL; ACTIVITY MODELING; SEMANTIC KNOWLEDGE;

ACTIVITY COEFFICIENTS; HIERARCHICAL SYSTEMS; UBIQUITOUS COMPUTING; COMPUTATION THEORY; PATTERN RECOGNITION;

SEMANTICS;

EID: 80052737371     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-23641-9_41     Document Type: Conference Paper

References (15)

1. Helal, A., King, J., Zabadani, H., Kaddourah, Y.: The Gator Tech Smart House: An Assistive Environment for Successful Aging. In: Hagrass, H. (ed.) Advanced Intelligent Environments. Springer, Heidelberg (2008)
2. Mann, W., Helal, S.: Smart Technology: A Bright Future for Independent Living. The Society for Certified Senior Advisors Journal 21, 15-20 (2003)
3. Kim, E.J., Helal, S., Cook, D.: Human Activity Recognition and Pattern Discovery. IEEE Pervasive Computing 9(1), 48-52 (2010)
4. Kim, E.J., Helal, S.: Revisiting Human Activity Frameworks. In: 2nd International ICST Conference on Wireless Sensor Network Systems and Software - S-Cube (2010)
5. Kuutti, K.: Activity theory as a potential framework for human-computer interaction research. In: Nardi, B.A. (ed.) Context and Consciousness: Activity Theory and Human- Computer Interaction. MIT Press, Cambridge (1996)
6. Davydov, V. V., Zinchenko, V. P., Talyzina, N. F.: The Problem of Activity. In: The Works of A. N. Leontjev, Soviet Psychology, vol. 21(4), pp. 31-42 (1983)
7. Rabiner, L.R.: A tutorial on hidden markov models and selected applications in speech recognition. Proceedings of the IEEE 77(2), 257-286 (1989)
8. Sutton, C., McCallum, A.: An introduction to conditional random fields for relational learning. In: Getoor, L., Taskar, B. (eds.) Introduction to Statistical Relational Learning, MIT Press, Cambridge (2006)
9. David Irwin, J.: The industrial electronics handbook, p. 829. IEEE Press, Los Alamitos (1997)
10. Kusrin, K.: Question Quantification to Obtain User Certainty Factor in Expert System Application for Disease Diagnosis. In: Proceedings of the International Conference on Electrical Engineering and Informatics, pp. 765-768 (2007)
11. Pentney, W., et al.: Sensor-Based Understanding of Daily Life via Large-Scale Use of Common Sense. In: Proceedings of AAAI 2006, Boston, MA, USA (2006)
12. Surie, D., Pederson, T., Lagriffoul, F., Janlert, L.-E., Sjolie, D.: Activity Recognition using an Egocentric Perspective of Everyday Objects. In: Indulska, J., Ma, J., Yang, L.T., Ungerer, T., Cao, J. (eds.) UIC 2007. LNCS, vol. 4611, pp. 246-257. Springer, Heidelberg (2007)
13. Lefre, P.: Activity-based scenarios for and approaches to ubiquitous e-Learning. In: Personal and Ubiquitous Computing, vol. 13(3), pp. 219-227 (2009)
14. Pentney, W., et al.: Sensor-Based Understanding of Daily Life via Large-Scale Use of Common Sense. In: Proceedings of AAAI 2006, Boston, MA, USA (2006)
15. Kasteren, T., Noulas, A., Englebienne, G., Krose, B.: Accurate Activity Recognition in a Home Setting. In: Proceedings of the Tenth International Conference on Ubiquitous Computing (Ubicomp), Korea, pp. 1-9 (2008)