Fine-grained activity recognition by aggregating abstract object usage

Proceedings - International Symposium on Wearable Computers, ISWC

Volumn 2005, Issue , 2005, Pages 44-51

  Patterson, Donald J ^a   Fox, Dieter ^a   Kautz, Henry ^a   Philipose, Matthai ^b  

^a University of Washington   (United States)

^b INTEL RESEARCH   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ABSTRACTING; COMPUTATION THEORY; COMPUTATIONAL COMPLEXITY; FORMAL LOGIC; MATHEMATICAL MODELS; PROBABILITY; RADIO SYSTEMS;

FINE-GRAINED ACTIVITY RECOGNITION; PROBABILISTIC GRAPHICAL MODELS; RFID GLOVE;

PATTERN RECOGNITION;

EID: 33845303529     PISSN: 15504816     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ISWC.2005.22     Document Type: Conference Paper

References (23)

1. C. Anderson, P. Domingos, and D. Weld. Relational Markov Models and their Application to Adaptive Web Navigation. In Proc. of the Eighth Intl. Conf. on Knowledge Discovery and Data Mining, pages 143-152. ACM Press, 2002.
2. T. Choudhury, J. Lester, and G. Borriello. A Hybrid Discriminative/ Generative Approach for Modeling Human Activities. In Proc. of the Nineteenth Intl. Joint Conf. on A.I., Edinburgh, UK, 2005. Morgan-Kaufmann Publishers.
3. T. Choudhury and A. Pentland. Sensing and Modeling Human Networks Using the Sociometer. In Proc. of the Seventh IEEE Intl. Symposium on Wearable Computers, pages 216-222. IEEE, October 2003.
4. D. Colbry, B. Peintner, and M. Pollack. Execution Monitoring with Quantitative Temporal Bayesian Networks. In 6th Intl. Conf. on AI Planning and Scheduling, April 2002.
5. P. Fitzpatrick and C. Kemp. Shoes as a Platform for Vision. In Proc. of the Seventh IEEE Intl. Symposium on Wearable Computers, pages 231-234. IEEE, October 2003.
6. Froogle Shopping Site, http://froogle.google.com/.
7. J. L. Hill and D. E. Culler. Mica: A Wireless Platform for Deeply Embedded Networks. IEEE Micro, 22(6): 12-24, 2002.
8. Intel Research Seattle. Intel Research Seattle Guide Project Website, 2003. http://seattleweb.intel-research.net/projects/guide/.
9. T. Jebara and A. Pentland. Action Reaction Learning: Automatic Visual Analysis and Synthesis of Interactive Behaviour. In ICVS '99: Proc. of the First Intl. Conf. on Com puter Vision Systems, pages 273-292, London, UK, 1999. Springer-Verlag.
10. K. K. Van Laerhoven and H. Gellersen. Spine Versus Porcupine: A Study in Distributed Wearable Activity Recognition. In Proc. of the Eighth IEEE Intl. Symposium on Wearable Computers, volume 1, pages 142-149. IEEE, October 2004.
11. H. A. Kautz and J. F. Allen. Generalized Plan Recognition. In AAAI, pages 32-37, 1986.
12. N. Kern, S. Antifakos, B. Schiele, and A. Schwaninger. A Model for Human Interruptability: Experimental Evaluation and Automatic Estimation from Wearable Sensors. In Proc. of the Eighth IEEE Intl. Symposium on Wearable Computers, volume 1, pages 158-165. IEEE, October 2004.
13. A. Mihailidis, B. Carmichael, and J. Boger. The Use of Computer Vision in an Intelligent Environment to Support Aging-in-Place, Safety, and Independence in the Home. IEEE Transactions on Information Technology in BioMedicine, 8(3):238-247, 2004.
14. T. Osogami and M. Harchol-Balter. A Closed-Form Solution for Mapping General Distributions to Minimal PH Distributions. In P. Kemper and W. H. Sanders, editors, Computer Performance Evaluation / TOOLS, volume 2794 of Lecture Notes in Computer Science, pages 200-217. Springer, 2003.
15. M. Philipose, K. P. Fishkin, M. Perkowitz, D. J. Patterson, D. Hahnel, D. Fox, and H. Kautz. Inferring Activities from Interactions with Objects. IEEE Pervasive Computing: Mobile and Ubiquitous Systems, 3(4):50-57, 2004.
16. L. R. Rabiner. A Tutorial on Hidden Markov Models and Selected Applications in Speech Recognition. In A. Waibel and K.-F. Lee, editors, Readings in Speech Recognition, pages 267-296. Kaufmann, San Mateo, CA, 1990.
17. Y. Shi, Y. Huang, D. Minnen, A. Bobick, and I. Essa. Propagation Networks for Recognition of Partially Ordered Sequential Action. In Proceedings of IEEE CVPR04, 2004.
18. M. Stager, P. Lukowicz, N. Perera, and G. Troster. Implementation and Evaluation of a Low-Power Sound-Based User Activity Recognition System. In Proc. of the Eighth IEEE Intl. Symposium on Wearable Computers, volume 1, pages 138-141. IEEE, October 2004.
19. M. Stager, P. Lukowicz, N. Perera, T. von Buren, G. Troster, and T. Starner. SoundButton: Design of a Low Power Wearable Audio Classification System. In Proc. of the Seventh IEEE Intl. Symposium on Wearable Computers, pages 12-17. IEEE, October 2003.
20. E. M. Tapia, T. Choudhury, M. Philipose, and D. Wyatt. Using Automatically Mined Object Relationships and Common-Sense for Unsupervised Activity Recognition. Technical Report IRS-TR-05-014, Intel Research Seattle, May 2005.
21. E. M. Tapia, S. S. Intille, and K. Larson. Activity Recognition in the Home Using Simple and Ubiquitous Sensors. In Pervasive, pages 158-175, 2004.
22. R. Want. A Key to Automating Everything. Scientific American, 290(1):56-65, 2003.
23. R. Wilensky. Planning and Understanding: A Computational Approach to Human Reasoning, Addison-Wesley, Reading, MA, 1983.