• DocumentCode
    3582467
  • Title

    Human activity recognition: A review

  • Author

    Ong Chin Ann ; Lau Bee Theng

  • Author_Institution
    Fac. of Eng., Swinburne Univ. of Technol., Kuching, Malaysia
  • fYear
    2014
  • Firstpage
    389
  • Lastpage
    393
  • Abstract
    Human Activity Recognition is one of the active research areas in computer vision for various contexts like security surveillance, healthcare and human computer interaction. In this paper, a total of thirty-two recent research papers on sensing technologies used in HAR are reviewed. The review covers three area of sensing technologies namely RGB cameras, depth sensors and wearable devices. It also discusses on the pros and cons of the mentioned sensing technologies. The findings showed that RGB cameras have lower popularity when compared to depth sensors and wearable devices in HAR research.
  • Keywords
    cameras; computer vision; image motion analysis; HAR; HAR research; RGB cameras; computer vision; depth sensors; healthcare; human activity recognition; human computer interaction; security surveillance; sensing technologies; wearable devices; Cameras; Conferences; Context; Medical services; Monitoring; Wearable sensors; Human activity recognition; Kinect; RGB camera; depth sensor; sensing technology; wearable devices;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control System, Computing and Engineering (ICCSCE), 2014 IEEE International Conference on
  • Print_ISBN
    978-1-4799-5685-2
  • Type

    conf

  • DOI
    10.1109/ICCSCE.2014.7072750
  • Filename
    7072750