An event-based approach to multi-modal activity modeling and recognition

2010 IEEE International Conference on Pervasive Computing and Communications, PerCom 2010

Volumn , Issue , 2010, Pages 98-106

  Pijl, Marten ^a   Van De Par, Steven ^a   Shan, Caifeng ^a  

^a PHILIPS RESEARCH LABORATORIES   (Netherlands)

Author keywords

Activity recognition; Hidden Markov models

Indexed keywords

HIDDEN MARKOV MODELS; PATTERN RECOGNITION; UBIQUITOUS COMPUTING;

ACTIVITIES OF DAILY LIVING; ACTIVITY MODELING; ACTIVITY RECOGNITION; AUDIO AND VIDEO; HUMAN ACTIVITIES; MANUAL ANNOTATION; MODEL PARAMETER ESTIMATION; MULTI-MODAL APPROACH;

MODAL ANALYSIS;

EID: 77956422983     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/percom.2010.5466986     Document Type: Conference Paper

References (17)

1. M. Philipose, K. P. Fishkin, M. Perkowitz, D. J. Patterson, D. Fox, H. Klautz and D. Hahnel, Inferring Activities from Interactions with Objects, IEEE Pervasive Computing, 3:4, 2004
2. P. Rashidi and D. J. 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, 2009
3. T. van Kasteren, A. Noulas, G. Englebienne and B. Krose, Accurate activity recognition in a home setting, Proceedings on the 10th international conference on Ubiquitous computing, 2008
4. L. Bao and S. S. Intille, Activity recognition from user-annotated acceleration data, Lecture Notes in Computer Science, Springer, 2004
5. J. Lui, Z. Wang, L. Zhong, J. Wickramasuriya and V. Vasudevan, μWave: Accelerometer-based personalized gesture recognition and its applications, IEEE International Conference on Pervasive Computing and Communications, 2009
6. P. Turaga, R. Chellappa, V. S. Subrahmanian and O. Udrea, Machine Recognition of Human Activities: A Survey, IEEE Transactions on Circuits and Systems for Video Technology, 18:11, 2008
7. T. Chin, L. Wang, K. Schindler and D. Suter, Extrapolating Learned Manifolds for Human Activity Recognition, IEEE International Conference on Image Processing, 1, 2007
8. R. Bodor, R. Morlok and N. Papanikolopoulos, Dual-camera system for multi-level activity recognition, IEEE International Conference on Intelligent Robots and Systems, 1, 2004
9. C. Wojek, K. Nickel and R. Stiefhagen, Activity Recognition and Room-Level Tracking in an Office Environment, IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems, 2006
10. L. N. Abdullah and S. Noah, Integrating Audio Visual Data for Human Action Detection, Fifth International Conference on Computer Graphics, Imaging and Visualization, 2008
11. N. Oliver, E. Horvitz and A. Garg, Layered Representations for Human Activity Recognition, Fourth IEEE International Conference on Multimodal Interfaces, 2002
12. L. R. Rabiner, A Tutorial on Hidden Markov Models and Selected Applications in Speech Recognition, Proceedings of the IEEE 77 (2), 1989
13. H. Mamitsuka, Supervised Learning of Hidden Markov Models for Sequence Discrimination, Annual Conference on Research in Computational Molecular Biology, 1997
14. P. Baldi and Y. Chauvin, Smooth On-line Learning Algorithms for Hidden Markov Models, Neural Computing, 6, 1994
15. M. Brand, N. Oliver and A. Pentland, Coupled Hidden Markov Models for Complex Action Recognition, Computer Vision and Pattern Recognition, 1997
16. M. Brand, Coupled Hidden Markov Models for Modeling Interactive Processes, MIT Media Lab Perceptual Computing / Learning and Common Sense Technical Report 405, 1997
17. D. A. Reynolds, T. F. Quatieri and R. B. Dunn, Speaker Verification Using Adapted Gaussian Mixture Models, Digital Signal Processing, 10: 1-3, 2000