Sökning: "Gesture Recognition"

Visar resultat 1 - 5 av 37 uppsatser innehållade orden Gesture Recognition.

  1. 1. Weapons of Microcontroller Destruction : Tangible Playthings for Roleplaying in Dungeons & Dragons

    Master-uppsats, Malmö universitet/Institutionen för konst, kultur och kommunikation (K3)

    Författare :Max Angenius; [2023]
    Nyckelord :Tangble and embodied interaction; Play; Roleplaying; Dungeons Dragons;

    Sammanfattning : This project aims to explore how interactive tangible playthings can be designed to enhance the roleplaying aspect of Dungeons & Dragons. Further, the project juxtaposed D&D and interaction design as practices to examine if D&D can contribute to interaction design. LÄS MER

  3. 2. Trainable Region of Interest Prediction: Hard Attention Framework for Hardware-Efficient Event-Based Computer Vision Neural Networks on Neuromorphic Processors

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

    Författare :Cina Arjmand; [2023]
    Nyckelord :Artifical Intelligence; Machine Learning; Neuromorphic Engineering; Computer Vision; Technology and Engineering;

    Sammanfattning : Neuromorphic processors are a promising new type of hardware for optimizing neural network computation using biologically-inspired principles. They can effectively leverage information sparsity such as in images from event-based cameras, and are well-adapted to processing event-based data in an energy-efficient fashion. LÄS MER

  4. 3. A Comparative Study on the Importance of Image Resolution in Gesture Recognition

    Kandidat-uppsats, KTH/Datavetenskap

    Författare :Klara Alpsten; Tora Wallerö; [2022]
    Nyckelord :;

    Sammanfattning : Sign language translation applications could provide a whole new avenue of communication. However, translating sign language comes with challenges such as deriving and handling information from images which can be a difficult task for computers. LÄS MER

  5. 4. Real-time hand segmentation using deep learning

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Federico Favia; [2021]
    Nyckelord :Hand Segmentation; Semantic Segmentation; Deep Learning; Convolutional Neural Networks; Real-time; Augmented Reality; Embedded Devices; Dataset; Transfer Learning; Handsegmentering; Semantisk Segmentering; Djupinlärning; Konvolutionsneurala Nätverk; Realtid; Förstärkt Verklighet; Inbäddade Enheter; Datauppsättning; Transferlärning;

    Sammanfattning : Hand segmentation is a fundamental part of many computer vision systems aimed at gesture recognition or hand tracking. In particular, augmented reality solutions need a very accurate gesture analysis system in order to satisfy the end consumers in an appropriate manner. Therefore the hand segmentation step is critical. LÄS MER

  7. 5. Exploiting Leap Motion and Microsoft Kinect Sensors for Static and Dynamic Sign Gesture Recognition

    Magister-uppsats, Luleå tekniska universitet/Institutionen för system- och rymdteknik

    Författare :Sumit Rakesh; [2021]
    Nyckelord :;

    Sammanfattning : One of the primary ways of communication between humans is verbal communication. Among hearing-impaired persons, the traditional way of communication is through sign language. Sign gestures are the atomic actions used in sign language for non-verbal communication. LÄS MER