• DocumentCode
    813588
  • Title

    Making Sense of Sensor Data

  • Author

    Cook, Diane J.

  • Author_Institution
    Washington State Univ., Pullman
  • Volume
    6
  • Issue
    2
  • fYear
    2007
  • Firstpage
    105
  • Lastpage
    108
  • Abstract
    Sensors pervade our high-tech world - they link available computational power with physical applications. Sensors are rapidly catching up with computing devices in popularity and widespread use. As they become more varied and easy to use, the need to analyze sensor data grows. Scientists must understand sensor data for an extremely varied range of tasks, such as diagnosing automobiles, programming robots, analyzing traffic patterns, detecting terrorist threats, assuring the well-being of elderly persons living at home, and monitoring wildlife habitats.
  • Keywords
    data handling; ubiquitous computing; data analysis; multidimensional data; sensor data; Algorithm design and analysis; Clustering algorithms; Data analysis; Data compression; Filters; Multidimensional systems; Neural networks; Principal component analysis; Sensor phenomena and characterization; Singular value decomposition; Episode Discovery; Principle Components Analysis; Singular Value Decomposition; association analysis; clustering algorithms; data analysis; sensor data; sensors;
  • fLanguage
    English
  • Journal_Title
    Pervasive Computing, IEEE
  • Publisher
    ieee
  • ISSN
    1536-1268
  • Type

    jour

  • DOI
    10.1109/MPRV.2007.37
  • Filename
    4160613