• English
    • العربية
  • العربية
  • Login
  • QU
  • QU Library
  •  Home
  • Communities & Collections
  • About QSpace
    • Vision & Mission
  • Help
    • Item Submission
    • Publisher policies
    • User guides
      • QSpace Browsing
      • QSpace Searching (Simple & Advanced Search)
      • QSpace Item Submission
      • QSpace Glossary
View Item 
  •   Qatar University Digital Hub
  • Qatar University Institutional Repository
  • Academic
  • Faculty Contributions
  • College of Engineering
  • Computer Science & Engineering
  • View Item
  • Qatar University Digital Hub
  • Qatar University Institutional Repository
  • Academic
  • Faculty Contributions
  • College of Engineering
  • Computer Science & Engineering
  • View Item
  •      
  •  
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Driver activity recognition in virtual reality driving simulation

    Thumbnail
    Date
    2017
    Author
    Halabi, Osama
    Fawal, Sara
    Almughani, Eman
    Al-Homsi, Lina
    Metadata
    Show full item record
    Abstract
    In this research, we present the design of a driving seat with driver activities recognition based on a passive method for measuring body-postures by using two force sensor arrays to inspect the pressure patterns exhibited in driver's seat and backrest. The seat is designed by testing the sensors distribution to find the most suitable distribution to make the recognition more accurate. A Virtual Reality (VR) driving simulation is developed to test the accuracy of recognition in immersive environment. Experiments carried out to test the posture recognition accuracy in both realistic setting and VR setting. The result showed that the system was able to recognize ten different postures with various accuracy ratio. The VR immersive driving environment enhanced the accuracy recognition in some postures.
    DOI/handle
    http://dx.doi.org/10.1109/IACS.2017.7921955
    http://hdl.handle.net/10576/16300
    Collections
    • Computer Science & Engineering [‎2484‎ items ]

    entitlement


    Qatar University Digital Hub is a digital collection operated and maintained by the Qatar University Library and supported by the ITS department

    Contact Us
    Contact Us | QU

     

     

    Home

    Submit your QU affiliated work

    Browse

    All of Digital Hub
      Communities & Collections Publication Date Author Title Subject Type Language Publisher
    This Collection
      Publication Date Author Title Subject Type Language Publisher

    My Account

    Login

    Statistics

    View Usage Statistics

    About QSpace

    Vision & Mission

    Help

    Item Submission Publisher policies

    Qatar University Digital Hub is a digital collection operated and maintained by the Qatar University Library and supported by the ITS department

    Contact Us
    Contact Us | QU

     

     

    Video