• DocumentCode
    3715245
  • Title

    An intelligent sensing system tor healthcare applications using real-time EMG and gaze fusion

  • Author

    Aisha Al-Mansoori;Alkhzami Al-Harami;Rawda AlMesallam;Uvais Qidwai;Abbes Amira

  • Author_Institution
    Department of Computer Science and Engineering, Qatar University, Qatar
  • fYear
    2015
  • Firstpage
    491
  • Lastpage
    498
  • Abstract
    This paper propose and discuss a solution of an intelligent visualization/sensing system for people who suffer from spinal muscular atrophy (SMA) which is a disorder that gradually makes the person paralyzed. The solution includes an electromyography (EMG) system, gaze system, and data fusion algorithm. Moreover, a robot is used that acts as an avatar on one side and a Virtual Reality (VR) technology is used on the patient´s side. The evaluation and results of the developed system are shown at the end of the paper. The processing and decision making of the system takes 2.1 seconds. In addition, the accuracy of the EMG and gaze systems is almost 100%.
  • Keywords
    "Electromyography","Robot sensing systems","Gaze tracking","Medical services","Muscles"
  • Publisher
    ieee
  • Conference_Titel
    SAI Intelligent Systems Conference (IntelliSys), 2015
  • Type

    conf

  • DOI
    10.1109/IntelliSys.2015.7361185
  • Filename
    7361185