Sökning: "gesture tracking"

Visar resultat 1 - 5 av 18 uppsatser innehållade orden gesture tracking.

  1. 1. Evaluating Generated Co-Speech Gestures of Embodied Conversational Agent(ECA) through Real-Time Interaction

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

    Författare :Yuan He; [2022]
    Nyckelord :Embodied Conversational Agent ECA ; User Study; Evaluation Instrument; Gesture Generation; Gaze-tracking; Förkroppsligad konversationsagent ECA ; Användarstudie; Utvärderingsinstrument; Generering av gester; Spårning av blickar;

    Sammanfattning : Embodied Conversational Agents (ECAs)’ gestures can enhance human perception in many dimensions during interactions. In recent years, data-driven gesture generation approaches for ECAs have attracted considerable research attention and effort, and methods have been continuously optimized. LÄS MER

  3. 2. 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

  4. 3. Automatic Virtual Tracking in a Multi-Participant Scenario for a Mobile Device

    Uppsats för yrkesexamina på avancerad nivå, Lunds universitet/Institutionen för reglerteknik

    Författare :Emelie Skoog; Elin Freberg; [2022]
    Nyckelord :Technology and Engineering;

    Sammanfattning : The aim of this thesis is to identify a speaker in a video stream by only using the camera of a smartphone. This creates the opportunity for a mobile application to track the speaking participant during a conference call. Conference systems that include this feature use a microphone array to localize sound and who the speaker is. 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. Mobile cross-platform gesture- guided visual pain tracking for endometriosis

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

    Författare :Alfio Brancozzi; [2021]
    Nyckelord :mHealth; smartphone; endometriosis; pain; React Native; gesture; symptom tracking; mHealth; smartphone; endometrios; smärta; React Native; gest; symptomspårning;

    Sammanfattning : Rapid growth in mobile technologies since the 2000s is reflected in continued smartphone adoption and the expansion of mobile health (mHealth) smartphone applications for pain assessment. Yet there exists a lack of research-based pain assessment apps for endometriosis, a prevalent yet underrepresented disorder where pain management plays a vital role. LÄS MER