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Real Time Unobtrusive Human Behaviours Recognition

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Published:02 December 2014Publication History

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References

  1. G. Charvat, J. Peabody and T. Ralston, Lincoln Laboratory, MIT (Massachusetts Institute of Technology), Seeing Through walls, http://www.ll.mit.edu/news/thruwallradar.htmlGoogle ScholarGoogle Scholar
  2. P. Papapetrou, V. Athitsos, M. Potamias, G. Kollios, and D. Gunopulos. Embedding-based Sub-sequence matching in time-series databases. ACM Transactions on Database Systems (TODS), 36(3):17, 2011. Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. Y. Sakurai, C. Faloutsos, and M. Yamamuro, Stream monitoring under the time warping distance, IEEE Int. Conf. on Data Engineering (ICDE), pages 1046--1055, 2007.Google ScholarGoogle ScholarCross RefCross Ref
  4. X. Zhao, Xue Li, C. Pang, X. Zhu and M. Q. Sheng, Online Human Gesture Recognition from Motion Data Streams, Proceedings ACM Multi-Media 2013, pp. 23--32. Google ScholarGoogle ScholarDigital LibraryDigital Library

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  1. Real Time Unobtrusive Human Behaviours Recognition

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    • Published in

      cover image ACM Other conferences
      MLSDA'14: Proceedings of the MLSDA 2014 2nd Workshop on Machine Learning for Sensory Data Analysis
      December 2014
      81 pages
      ISBN:9781450331593
      DOI:10.1145/2689746

      Copyright © 2014 Owner/Author

      Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 2 December 2014

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      Overall Acceptance Rate8of11submissions,73%
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