Sökning: "hand gesture recognition"

Visar resultat 1 - 5 av 22 uppsatser innehållade orden hand gesture recognition.

  1. 1. 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

  3. 2. 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

  4. 3. Using Leap Motion for the Interactive Analysis of Multivariate Networks

    Kandidat-uppsats, Linnéuniversitetet/Institutionen för datavetenskap och medieteknik (DM)

    Författare :Marcello Pietro Vendruscolo; Andreas Lif; [2020]
    Nyckelord :Multivariate Networks; Information Visualisation; Natural User Interface; Leap Motion; Human-Computer Interaction; Hand Gesture Designs;

    Sammanfattning : This work is an interdisciplinary study involving mainly the fields of information visualisation and human-computer interaction. The advancement of technology has expanded the ways in which humans interact with machines, which has benefited both the industry as well as several fields within science. LÄS MER

  5. 4. Hand Gesture based Telemedicine enabled by Mobile VR

    Master-uppsats, Linnéuniversitetet/Institutionen för datavetenskap och medieteknik (DM)

    Författare :Sofia Kiriaki Vulgari; [2019]
    Nyckelord :Virtual Reality; Hand Gestures; Virtual Environment; Telemedicine; Mobile VR; Multi User;

    Sammanfattning : Virtual Reality (VR) is a highly evolving domain and is used in anincreasing number of areas in today's society. Among the technologiesassociated with VR and especially mobile VR, is hand tracking and handgesture recognition. LÄS MER

  7. 5. Modelling of Hand Gestures and Motions

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

    Författare :Erik Ingemarsson; [2019]
    Nyckelord :Radar; Gesture Recognition; Signal Processing; Technology and Engineering;

    Sammanfattning : Measuring the radar response has proven to be a valid input for neural networks used for gesture and motion recognition. Previous work have been based on measuring the radar response of hand gestures, but it has been shown that models based on the analytic expressions for basic objects are useful when simulating larger motions, such as pedestrians. LÄS MER