• DocumentCode
    3726816
  • Title

    Object detection using Google Glass

  • Author

    Babak Taraghi;Mahdi Babaei

  • Author_Institution
    Faculty of Information Communication Technology, Limkokwing University, Cyberjaya, Malaysia
  • fYear
    2015
  • Firstpage
    97
  • Lastpage
    102
  • Abstract
    Using Wearable devices have recently become a common trend. Having a joyful and efficient interaction with the surrounding environment is one of the main goals of using these new technologies. Object and gesture detection on wearables as primary steps to achieve this goal are big challenges and critical features to prepare them for every-day uses. This research aims to study object detection with see-through wearable devices, such as Google Glass. A combination of vision-based techniques has been used to train the Computer Vision Library for object detection with the Google Glass. The result of this research can be applied widely on see-through head-mounted wearable devices for detecting objects and help people for monitoring purposes.
  • Keywords
    "Glass","Google","Object detection","Biomedical monitoring","Hidden Markov models","Detectors","Image segmentation"
  • Publisher
    ieee
  • Conference_Titel
    Open Systems (ICOS), 2015 IEEE Confernece on
  • Type

    conf

  • DOI
    10.1109/ICOS.2015.7377285
  • Filename
    7377285