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de interesse
Detalhes

Detalhes

  • Nome

    Daniel Mendes
  • Cluster

    Informática
  • Cargo

    Investigador Sénior
  • Desde

    01 abril 2020
003
Publicações

2022

Foreword to the special section on Recent Advances in Graphics and Interaction

Autores
Rodrigues, N; Mendes, D; Santos, LP; Bouatouch, K;

Publicação
COMPUTERS & GRAPHICS-UK

Abstract

2022

Designing Animated Transitions for Dynamic Streaming Big Data

Autores
Moreira, J; Castanheira, F; Mendes, D; Goncalves, D;

Publicação
PROCEEDINGS OF THE 17TH INTERNATIONAL JOINT CONFERENCE ON COMPUTER VISION, IMAGING AND COMPUTER GRAPHICS THEORY AND APPLICATIONS (IVAPP), VOL 3

Abstract

2021

A Novel Tool for Immersive Authoring of Experiential Learning in Virtual Reality

Autores
Cassola, F; Pinto, M; Mendes, D; Morgado, L; Coelho, A; Paredes, H;

Publicação
2021 IEEE CONFERENCE ON VIRTUAL REALITY AND 3D USER INTERFACES ABSTRACTS AND WORKSHOPS (VRW 2021)

Abstract

2021

A Tool for Collaborative Anatomical Dissection

Autores
Roberto Zorzal, E; Sousa, M; Mendes, D; Figueiredo Paulo, S; Rodrigues, P; Jorge, J; Lopes, DS;

Publicação
Human–Computer Interaction Series - Digital Anatomy

Abstract

2021

Immersive Authoring of Virtual Reality Training

Autores
Cassola, F; Pinto, M; Mendes, D; Morgado, L; Coelho, A; Paredes, H;

Publicação
2021 IEEE CONFERENCE ON VIRTUAL REALITY AND 3D USER INTERFACES ABSTRACTS AND WORKSHOPS (VRW 2021)

Abstract
The use of VR in industrial training contributes to reduce costs and risks, supporting more frequent and diversified use of experiential learning activities, an approach with proven results. In this work, we present an innovative immersive authoring tool for experiential learning in VR-based training. It enables a trainer to structure an entire VR training course in an immersive environment, defining its sub-components, models, tools, and settings, as well as specifying by demonstration the actions to be performed by trainees. The trainees performing the immersive training course have their actions recorded and matched to the ones specified by the trainer. © 2021 IEEE.

Teses
supervisionadas

2021

Navigation Techniques for Seated VR

Autor
Guilherme dos Santos Amaro

Instituição
UP-FEUP