Sökning: "gesture sensing"

Hittade 5 uppsatser innehållade orden gesture sensing.

  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. Development of a device to move Pan-Tilt-Zoom cameras using hand gestures

    Uppsats för yrkesexamina på avancerad nivå, Lunds universitet/Industriell elektroteknik och automation

    Författare :Amelie Bäck; Irene Sempere Díaz; [2020]
    Nyckelord :Hand gestures; PTZ cameras; surveillance; infrared sensors; ergonomics; intuitive; joystick; Technology and Engineering;

    Sammanfattning : Nowadays, many industries are investing a lot of resources in the development of new technologies that interpret hand gestures and use them as a communication interface between the user and the system. However, the surveillance industries have remained on the sidelines of this technological development. LÄS MER

  4. 3. 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

  5. 4. Gaze-driven interaction in video games

    Magister-uppsats, Linköpings universitet/Medie- och Informationsteknik; Linköpings universitet/Tekniska fakulteten

    Författare :Mohamed Al-Sader; [2018]
    Nyckelord :gaze direction; gaze-dependent DOF; gaze-dependent tone mapping; depth of field; eye tracker; gazeprecision; gaze accuracy; measurement noise;

    Sammanfattning : The introduction of input devices with natural user interfaces in gaming hardware has changed the way we interact with games. Hardware with motion-sensing and gesture recognizing capabilities remove the constraint of interacting with games through typical traditional devices like mouse-keyboard and gamepads. LÄS MER

  7. 5. Passive gesture recognition on unmodified smartphones using Wi-Fi RSSI

    Master-uppsats, KTH/Robotik, perception och lärande, RPL

    Författare :Mohamed Abdulaziz Ali Haseeb; [2017]
    Nyckelord :Wi-Fi; RSSI; gesture recognition; RNN; LSTM; neural network; deep learning;

    Sammanfattning : The smartphone is becoming a common device carried by hundreds of millions of individual humans worldwide, and is used to accomplish a multitude of different tasks like basic communication, internet browsing, online shopping and fitness tracking. Limited by its small size and tight energy storage, the human-smartphone interface is largely bound to the smartphones small screens and simple keypads. LÄS MER