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Human Activity Recognition and Pattern Discovery
January-March 2010 (vol. 9 no. 1)
pp. 48-53
Eunju Kim, University of Florida
Sumi Helal, University of Florida
Diane Cook, Washington State University
Activity recognition and activity pattern discovery hold significant promise to enabling many applications in the domain of human behavior monitoring, understanding and alteration. However, concurrent, interleaved and highly similar activities challenge the utility of existing approaches. In this installment of the Standards and Emerging Technologies column we survey the state of the art and point to crucial limitations worthy of additional research and investigations.

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8. A. Helal and S. Houssein, "The Sensory Dataset Description Language" project, 2009; www.icta.ufl.edu/persim/sddl.

Index Terms:
activity modeling, activity recognition, pattern discovery, pervasive computing
Citation:
Eunju Kim, Sumi Helal, Diane Cook, "Human Activity Recognition and Pattern Discovery," IEEE Pervasive Computing, vol. 9, no. 1, pp. 48-53, Jan.-March 2010, doi:10.1109/MPRV.2010.7
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