Essays about: "hand gesture recognition"

Showing result 6 - 10 of 21 essays containing the words hand gesture recognition.

  1. 6. Creating Good User Experience in a Hand-Gesture-Based Augmented Reality Game

    University essay from Linköpings universitet/Institutionen för datavetenskap

    Author : Benny Lam; Jakob Nilsson; [2019]
    Keywords : AR; Hand gestures; Bare-hand interaction; HGR; Augmented reality; usability; user experience; Manomotion; ARKit; Visual Odometry; SLAM; VO; VIO; 3D gestural interaction; gesture recognition; gesture tracking; augmented environments; Förstärkt verklighet; 3D gestinteraktion; gestigenkänning; visuell odometri; Manomotion; ARKit;

    Abstract : The dissemination of new innovative technology requires feasibility and simplicity. The problem with marker-based augmented reality is similar to glove-based hand gesture recognition: they both require an additional component to function. READ MORE

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

    University essay from Lunds universitet/Institutionen för elektro- och informationsteknik

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

    Abstract : 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). READ MORE

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

    University essay from Mälardalens högskola/Akademin för innovation, design och teknik

    Author : Axel Forsberg; [2018]
    Keywords : ;

    Abstract : 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. READ MORE

  5. 9. sEMG Classication with Convolutional Neural Networks: A Multi-Label Approach for Prosthetic Hand Control

    University essay from Lunds universitet/Avdelningen för Biomedicinsk teknik

    Author : Alexander Olsson; [2018]
    Keywords : Electromyography; Machine Learning; Deep Learning; Gesture Recognition; Neural Networks; Technology and Engineering;

    Abstract : In myoelectric prosthesis design, there is often a trade-off between control robustness and range of executable movements. As a low movement error rate is necessary in any real application, this often results in a quite severe limitation on the dexterity of the user. READ MORE

  6. 10. Personalized Dynamic Hand Gesture Recognition

    University essay from KTH/Medieteknik och interaktionsdesign, MID

    Author : Lei Wang; [2018]
    Keywords : Dynamic Gesture Recognition; Human Computer Interaction; Machine Learning;

    Abstract : 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. READ MORE