Human motion detection in daily activity tasks using wearable sensors

European Signal Processing Conference

Volumn , Issue , 2014, Pages 2315-2319

  Politi, Olga ^a   Mporas, Iosif ^a   Megalooikonomou, Vasileios ^a  

^a UNIVERSITY OF PATRAS   (Greece)

Author keywords

Accelerometers; daily activity; human motion recognition; movement classification; wearable sensors

Indexed keywords

ACCELEROMETERS; MOTION ESTIMATION; PROCESSING;

CLASSIFICATION ALGORITHM; DAILY ACTIVITY; DATA REPRESENTATIONS; EXPERIMENTAL EVALUATION; HUMAN MOTION DETECTION; HUMAN MOTION RECOGNITION; MOTION RECOGNITION; PRE-PROCESSING METHOD;

WEARABLE SENSORS;

EID: 84911949780     PISSN: 22195491     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (25)

1. M. A. Haidar and D. O'Shaughnessy, "Topic N-gram count language model for speech recognition," in Proceedings of IEEE Spoken Language Technology (SLT) Workshop, 2012, pp. 165-169.
2. R. Kuhn and R. D. Mori, "A cache-based natural language model for speech recognition," IEEE Transactions of Pattern Analysis and Machine Intelligence, vol. 12 (6), pp. 570-583, 1990.
3. R. Rosenfeld, "A maximum entropy approach to adaptive statistical language modeling," Computer Speech and Language, vol. 10 (3), pp. 187-228, 1996.
4. S. Deerwester, S. T. Dumais, G. W. Furnas, T. K. Landauer, and R. Harshman, "Indexing by latent semantic analysis," Journal of the American Society for Information Science, vol. 41(6), pp. 391-407, 1990.
5. J. R. Bellegarda, "Exploiting latent semantic information in statistical language modeling," IEEE Transactions on Speech and Audio Processing, vol. 88 (8), pp. 1279-1296, 2000.
6. T. Hofmann, "Probabilistic latent semantic analysis," in Proceedings of the Fifteenth Annual Conference on Uncertainty in Artificial Intelligence (UAI-99), San Francisco, CA, 1999, pp. 289-296, Morgan Kaufmann.
7. D. Gildea and T. Hofmann, "Topic-based language models using EM," in Proceedings of EUROSPEECH, 1999, pp. 2167-2170.
8. D. M. Blei, A. Y. Ng., and M. I. Jordan, "Latent Dirichlet allocation," Journal of Machine Learning Research, vol. 3, pp. 993-1022, 2003.
9. Y.-C. Tam and T. Schultz, "Dynamic language model adaptation using variational bayes inference," in Proceedings of INTERSPEECH, 2005, pp. 5-8.
10. Y.-C. Tam and T. Schultz, "Unsupervised language model adaptation using latent semantic marginals," in Proceedings of INTERSPEECH, 2006, pp. 2206-2209.
11. F. Liu and Y. Liu, "Unsupervised language model adaptation incorporating named entity information," in Proceedings of ACL, 2007, pp. 672-679.
12. F. Liu and Y. Liu, "Unsupervised language model adaptation via topic modeling based on named entity hypothesis," in Proceedings of ICASSP, 2008, pp. 4921-4924.
13. M. A. Haidar and D. O'Shaughnessy, "Novel weighting scheme for unsupervised language model adaptation using latent Dirichlet allocation," in Proceedings of INTERSPEECH, 2010, pp. 2438-2441.
14. M. A. Haidar and D. O'Shaughnessy, "Unsupervised language model adaptation using N-gram weighting," in Proceedings of CCECE, 2011, pp. 857-860.
15. M. A. Haidar and D. O'Shaughnessy, "LDA-based LM adaptation using latent semantic marginals and minimum discrimination information," in Proceedings of EUSIPCO, 2012, pp. 2040-2044.
16. M. Steyvers, "MATLAB topic modeling toolbox," http://psiexp.ss.uci.edu/research/ programs-data/toolbox.htm, 2013.
17. T. L. Griffiths and M. Steyvers, "Finding scientific topics," National Academy of Science, vol. 101 (1), pp. 5228-5235, 2004.
18. G. Heinrich, Parameter estimation for text analysis, Technical report, Fraunhofer IGD, 2009.
19. -, CSR-II (WSJ1) Complete, Linguistic Data Consortium, Philadelphia, 1994.
20. A. Stolcke, "SRILM-an extensible language modeling toolkit," in Proceedings of ICSLP, 2002, pp. 901-904.
21. S. Young, P. Woodland, G. Evermann, and M. Gales, "The HTK toolkit 3.4.1.," http://htk.eng.cam.ac.uk/, 2013.
22. K. Vertanen, "HTK wall street journal training recipe," http://www.keithv.com/software/htk/us/, 2013.
23. J. S. Garofolo, L. F. Lamel, W. M. Fisher, J. G. Fiscus, D. S. Pallett, N. L. Dahlgren, and V. Zue, "TIMIT acousticphonetic continuous speech corpus," Linguistic Data Consortium, 1993.
24. -, "The Carnegie Mellon University (CMU) pronounciation dictionary," http://www.speech.cs.cmu.edu/ cgi-bin/cmudict, 2013.
25. P.C. Woodland, J. J. Odell, V. Valtchev, and S. J. Young, "Large vocabulary continuous speech recognition using HTK," in Proceedings of ICASSP, 1994, pp. 125-128.