Sökning: "MOCAP"

Visar resultat 1 - 5 av 11 uppsatser innehållade ordet MOCAP.

1. 1. Enhancing Long-Term Human Motion Forecasting using Quantization-based Modelling. : Integrating Attention and Correlation for 3D Motion Prediction

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

   Författare :Luis González Gudiño; [2023]
   Nyckelord :Human Motion Forecasting; Long-Term Prediction; VQ-VAE; Quantization; 3D Human Motion; CMU MoCap Dataset; Transformer; Mänsklig Rörelseprognos; Långsiktig Prognos; VQ-VAE; Kvantisering; 3D-mänsklig rörelse; CMU MoCap Dataset; Transformer;

   Sammanfattning : This thesis focuses on addressing the limitations of existing human motion prediction models by extending the prediction horizon to very long-term forecasts. The objective is to develop a model that achieves one of the best stable prediction horizons in the field, providing accurate predictions without significant error increase over time. LÄS MER

3. 2. Comparative Analysis of Spatiotemporal Playback Manipulation : Evaluating Desktop Environments versus Immersive Head-Mounted Virtual Reality Environments

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

   Författare :Andreas Wrife; [2023]
   Nyckelord :virtual reality; surgical simulations; external ventricular drainage; motion capture; interaction controls; virtuell verklighet; kirurgiska simuleringar; extern ventrikeldränage; motion capture; interaktionskontroller;

   Sammanfattning : Virtual Reality (VR) is a creative tool that enables immersive learning, planning and training of surgical operations. Extensive research has been conducted in multiple surgical specialities where VR has been utilized, such as spinal neurosurgery. However, cranial neurosurgery remains relatively unexplored in this regard. LÄS MER

4. 3. En utvärdering av Markerless Motion Capture för amatörer

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

   Författare :Johan Ottosson; Yasmine Schüllerqvist; [2022]
   Nyckelord :Artificiell intelligens; maskininlärning; motion capture; markerless motion capture;

   Sammanfattning : Motion capture(“MoCap”) has been used for a long time in the movie and videogame industries to animate digital characters. This technology commonly requires a studio and expensive stationary equipment. However, in recent years markerless MoCap has emerged. LÄS MER

5. 4. Labelling Motion Capture Markers Using Dynamic Graph Convolutional Neural Networks

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

   Författare :Jacob Stuart; [2022]
   Nyckelord :;

   Sammanfattning : This thesis concerns labelling unlabelled motion capture (mocap) data using a Dynamic Graph Convolutional Neural Network (DGCNN) [46]. The most common type of motion-capture system, i.e. passive motion-capture, records the 3D position of multiple reflective markers using multiple infrared cameras with overlapping fields of view. LÄS MER

7. 5. Strategy to assess workstation ergonomics using virtual models of production

   Kandidat-uppsats, Högskolan i Skövde/Institutionen för ingenjörsvetenskap

   Författare :Fermin Aranda Avila; José María González Hernández-Carrillo; [2021]
   Nyckelord :Ergonomic assessment; motion capture; digital human modelling; virtual reality;

   Sammanfattning : Background: Work-related musculoskeletal disorders (WRMSD) are a disadvantage for companies both from the health and economics view. To reduce them, workstation ergonomics need to be accounted for. LÄS MER