Acoustic sensor based activity recognition using ensemble of one-class classifiers

2015 IEEE International Conference on Evolving and Adaptive Intelligent Systems, EAIS 2015

Volumn , Issue , 2015, Pages

  Tripathi, Achyut Mani ^a   Baruah, Diganta ^b   Baruah, Rashmi Dutta ^a  

^a INDIAN INSTITUTE OF TECHNOLOGY GUWAHATI   (India)

^b SIKKIM MANIPAL INSTITUTE OF TECHNOLOGY   (India)

Author keywords

[No Author keywords available]

Indexed keywords

FUZZY INFERENCE; INTELLIGENT SYSTEMS; KNOWLEDGE ENGINEERING;

ACOUSTIC MONITORING; ACOUSTIC SENSORS; ACTIVITY RECOGNITION; HUMAN ACTIVITY RECOGNITION; INCREMENTAL LEARNING; ONE-CLASS CLASSIFIER; PERCEPTUAL FEATURE; SUPPORT VECTOR MACHINE CLASSIFIERS;

PATTERN RECOGNITION;

EID: 84964001404     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/EAIS.2015.7368798     Document Type: Conference Paper

References (25)

1. M. Crocco, M. Cristani, A. Trucco, and V. Murino, "Audio surveillance: a systematic review," arXiv preprint arXiv:1409.7787, 2014.
2. C. Clavel, T. Ehrette, and G. Richard, "Events detection for an audiobased surveillance system," in Multimedia and Expo, 2005. ICME 2005. IEEE International Conference on. IEEE, 2005, pp. 1306-1309.
3. A. Pantelopoulos and N. G. Bourbakis, "A survey on wearable sensorbased systems for health monitoring and prognosis," Systems, Man, and Cybernetics, Part C: Applications and Reviews, IEEE Transactions on, vol. 40, no. 1, pp. 1-12, 2010.
4. D. Ding, R. A. Cooper, P. F. Pasquina, and L. Fici-Pasquina, "Sensor technology for smart homes," Maturitas, vol. 69, no. 2, pp. 131-136, 2011.
5. H. Alemdar and C. Ersoy, "Wireless sensor networks for healthcare: A survey," Computer Networks, vol. 54, no. 15, pp. 2688-2710, 2010.
6. M. Chan, D. Estève, C. Escriba, and E. Campo, "A review of smart homespresent state and future challenges," Computer methods and programs in biomedicine, vol. 91, no. 1, pp. 55-81, 2008.
7. A. Pantelopoulos and N. G. Bourbakis, "A survey on wearable sensorbased systems for health monitoring and prognosis," Systems, Man, and Cybernetics, Part C: Applications and Reviews, IEEE Transactions on, vol. 40, no. 1, pp. 1-12, 2010.
8. T. Choudhury, S. Consolvo, B. Harrison, J. Hightower, A. Lamarca, L. LeGrand, A. Rahimi, A. Rea, G. Bordello, B. Hemingway et al., "The mobile sensing platform: An embedded activity recognition system," Pervasive Computing, IEEE, vol. 7, no. 2, pp. 32-41, 2008.
9. C. Schüldt, I. Laptev, and B. Caputo, "Recognizing human actions: a local svm approach," in Pattern Recognition, 2004. ICPR 2004. Proceedings of the 17th International Conference on, vol. 3. IEEE, 2004, pp. 32-36.
10. J. Stork, L. Spinello, J. Silva, K. O. Arras et al., "Audio-based human activity recognition using non-markovian ensemble voting," in RO-MAN, 2012 IEEE. IEEE, 2012, pp. 509-514.
11. L. Chen, J. Hoey, C. D. Nugent, D. J. Cook, and Z. Yu, "Sensorbased activity recognition," Systems, Man, and Cybernetics, Part C: Applications and Reviews, IEEE Transactions on, vol. 42, no. 6, pp. 790-808, 2012.
12. V. Peltonen, J. Tuomi, A. Klapuri, J. Huopaniemi, and T. Sorsa, "Computational auditory scene recognition," in Acoustics, Speech, and Signal Processing (ICASSP), 2002 IEEE International Conference on, vol. 2. IEEE, 2002, pp. II-1941.
13. A. Temko and C. Nadeu, "Classification of meeting-room acoustic events with support vector machines and variable-feature-set clustering," in Acoustics, Speech, and Signal Processing, 2005. Proceedings.( ICASSP'05). IEEE International Conference on, vol. 5. IEEE, 2005, pp. v-505.
14. A. Temko, C. Nadeu, and J.-I. Biel, "Acoustic event detection: Svmbased system and evaluation setup in clear07," in Multimodal Technologies for Perception of Humans. Springer, 2008, pp. 354-363.
15. H. A. PHAN, M. Maas, R. Mazur, and A. Mertins, "Random regression forests for acoustic event detection and classification," Audio, Speech, and Language Processing, IEEE/ACM Transactions on, vol. 23, no. 1, pp. 20-31, 2015.
16. S. Ntalampiras, I. Potamitis, and N. Fakotakis, "Acoustic detection of human activities in natural environments," Journal of the Audio Engineering Society, vol. 60, no. 9, pp. 686-695, 2012.
17. A. Plinge, R. Grzeszick, G. Fink et al., "A bag-of-features approach to acoustic event detection," in Acoustics, Speech and Signal Processing (ICASSP), 2014 IEEE International Conference on. IEEE, 2014, pp. 3704-3708.
18. Y.-T. Peng, C.-Y. Lin, M.-T. Sun, and K.-C. Tsai, "Healthcare audio event classification using hidden markov models and hierarchical hidden markov models," in Multimedia and Expo, 2009. ICME 2009. IEEE International Conference on. IEEE, 2009, pp. 1218-1221.
19. S. Ntalampiras, I. Potamitis, and N. Fakotakis, "On acoustic surveillance of hazardous situations," in Acoustics, Speech and Signal Processing, 2009. ICASSP 2009. IEEE International Conference on. IEEE, 2009, pp. 165-168.
20. V. Eva, P. Matúš, J. Jozef, and C. Anton, "Surveillance system based on the acoustic events detection," Journal of Electrical and Electronics Engineering, vol. 4, pp. 255-8, 2011.
21. J. C. Huhn and E. Hullermeier, "Fr3: a fuzzy rule learner for inducing reliable classifiers," Fuzzy Systems, IEEE Transactions on, vol. 17, no. 1, pp. 138-149, 2009.
22. R. Polikar, "Ensemble based systems in decision making," Circuits and Systems Magazine, IEEE, vol. 6, no. 3, pp. 21-45, 2006.
23. R. Babuška and H. B. Verbruggen, "An overview of fuzzy modeling for control," Control Engineering Practice, vol. 4, no. 11, pp. 1593-1606, 1996.
24. S. L. Chiu, "Fuzzy model identification based on cluster estimation." Journal of intelligent and Fuzzy systems, vol. 2, no. 3, pp. 267-278, 1994.
25. D. M. Tax and R. P. Duin, "Combining one-class classifiers," in Multiple Classifier Systems. Springer, 2001, pp. 299-308.