Sökning: "Hand Gesture Classification"

Hittade 5 uppsatser innehållade orden Hand Gesture Classification.

  1. 1. Hand Gesture Classification using Millimeter Wave Pulsed Radar

    Master-uppsats, Lunds universitet/Matematisk statistik

    Författare :Eda Dagasan; [2020]
    Nyckelord :Hand Gesture Classification; Millimeter Wave Radar; Statistical Signal Processing; Time-Frequency Analysis; Room Impulse Response Estimation; Sparse Dictionary Learning; Classification; Supervised Learning; Convolutional Neural Networks; k-Nearest Neighbor; Mathematics and Statistics;

    Sammanfattning : Millimeter wave pulsed radar has found many applications, among them hand gesture sensing, which this work has as purpose. This application has already shown good potential, [1], and here in this work robustness aspects are taken into account. LÄS MER

  3. 2. Short Range Gesture Sensing and Classification Using Pulsed Millimeter-Wave Radar and Convolutional Neural Networks

    Master-uppsats, Lunds universitet/Institutionen för elektro- och informationsteknik

    Författare :Hannes Dahlberg; Anton Evertsson; [2019]
    Nyckelord :Classification; convolutional neural network; gesture sensing; hand gesture recognition; machine learning; millimeter wave radar; pulsed radar; transfer-learning.; Technology and Engineering;

    Sammanfattning : Human hand gestures present a novel way of interacting with electronic devices. A millimeter-wave radar setup utilizing a pulsed Resonant-Tunneling Diode signal generator in the 60 GHz ISM band is used to measure 12 different hand gestures. The data is used to train and validate Convolutional Neural Networks (CNNs). LÄS MER

  4. 3. A Wavelet-Based Surface Electromyogram Feature Extraction for Hand Gesture Recognition

    Master-uppsats, Mälardalens högskola/Akademin för innovation, design och teknik

    Författare :Axel Forsberg; [2018]
    Nyckelord :;

    Sammanfattning : The research field of robotic prosthetic hands have expanded immensely in the last couple of decades and prostheses are in more commercial use than ever. Classification of hand gestures using sensory data from electromyographic signals in the forearm are primary for any advanced prosthetic hand. LÄS MER

  5. 4. Personalized Dynamic Hand Gesture Recognition

    Master-uppsats, KTH/Medieteknik och interaktionsdesign, MID

    Författare :Lei Wang; [2018]
    Nyckelord :Dynamic Gesture Recognition; Human Computer Interaction; Machine Learning;

    Sammanfattning : Human gestures, with the spatial-temporal variability, are difficult to be recognized by a generic model or classifier that are applicable for everyone. To address the problem, in this thesis, personalized dynamic gesture recognition approaches are proposed. LÄS MER

  7. 5. Robust control of hand prosthesis using electromyography, accelerometers and gyros

    Master-uppsats, Lunds universitet/Avdelningen för Biomedicinsk teknik

    Författare :Viktor Löfving; [2017]
    Nyckelord :Prosthesis control; EMG; surface electrodes; Technology and Engineering;

    Sammanfattning : The goals of this project are to investigate the viability of using the MyoTM armband developed by Thalmic labs as a tool for myoelectric control of a hand prosthesis as well as investigate whether the armbands ability to record its spatial position and orientation can be used to increase the performance of the prosthesis control program. Using the surface electrodes, gyroscopes and accelerometers of the MyoTM armband, a control system for myoelectric control of a hand prosthesis was created and tested on nine different users. LÄS MER