We present a system for 3D hand gesture recognition based on low-cost time-of-flight(ToF) sensors intended for outdoor use in automotive human-machine interaction. As signal quality is impaired compared to Kinect-type sensors, we study several ways to improve performance when a large number of gesture classes is involved. Our system fuses data coming from two ToF sensors which is used to build up a large database and subsequently train a multilayer perceptron (MLP). We demonstrate that we are able to reliably classify a set of ten hand gestures in real-time and describe the setup of the system, the utilised methods as well as possible application scenarios.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    A real-time applicable 3D gesture recognition system for automobile HMI


    Contributors:


    Publication date :

    2014-10-01


    Size :

    1253843 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    A Real-Time Applicable Dynamic Hand Gesture Recognition Framework

    Kopinski, Thomas / Gepperth, Alexander / Handmann, Uwe | IEEE | 2015


    A light-weight real-time applicable hand gesture recognition system for automotive applications

    Kopinski, Thomas / Magand, Stephane / Gepperth, Alexander et al. | IEEE | 2015


    Gesture recognition automobile tail mark

    WANG JINLEI / LIU JIAN / XUE WEIPING et al. | European Patent Office | 2021

    Free access

    Real-time gesture recognition system and application

    Wah Ng, C. / Ranganath, S. | British Library Online Contents | 2002


    Automobile gesture interaction system

    LI YANQI / TIAN YUN / ZHOU KAI et al. | European Patent Office | 2020

    Free access