Human Activity Recognition and Pattern Discovery

  • Authors:
  • Eunju Kim;Sumi Helal;Diane Cook

  • Affiliations:
  • University of Florida;University of Florida;Washington State University

  • Venue:
  • IEEE Pervasive Computing
  • Year:
  • 2010

Quantified Score

Hi-index 0.00

Visualization

Abstract

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.