Abstract Detecting hand gestures can provide a useful non-contact interaction tool with machines and systems and it has been employed for a wide range of applications. Recently, smart glasses and Virtual Reality (VR) headsets become viable solutions for various training applications ranging from surgical training in medicine to operator training for heavy equipment. A major challenge in these systems is to interact with the training platform since user’s view is blocked. In this paper, we present hand gesture detection using deep learning as a means of interaction with the VR system. Real world images are streamed by a camera mounted on the VR headset. User’s hand gestures are detected and blended into the virtual images providing more immersive and interactive user experience.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Hand Gesture Detection and Its Application to Virtual Reality Systems


    Contributors:


    Publication date :

    2019-01-01


    Size :

    6 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English




    Hand Gesture Detection and Its Application to Virtual Reality Systems

    Ercan, M. Fikret / Liu, Allen Qiankun | TIBKAT | 2019


    Hand Gesture Controlled Video Player Application

    Prathyakshini / Prathwini | IEEE | 2023


    Virtual Steering with Gesture Control Using 3D Hand Modeling

    Bhavana, G. / Surendran, R. / Ramya, P. | TIBKAT | 2023


    Hand Gesture Controlled Wheelchair

    Chandolikar, Neelam / Bondarde, Atharva / Bodade, Ninad et al. | IEEE | 2024


    Study of Vision-Based Hand Gesture Recognition System for Astronaut Virtual Training

    Hu, Hong ;Chao, Jian Gang ;Zhao, Zai Qian | Trans Tech Publications | 2014