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Sobre
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Sobre

Professor Associado com Agregação da UTAD e Investigador Sénior do INESC TEC.

Doutorou-se, na UTAD, em 2002, em Engenharia Eletrotécnica e realizou, em 2007, as provas Públicas de Agregação em Informática/Acessibilidade. Passou a Professor Associado da UTAD em dezembro de 2012.

Foi Pró-reitor para a Inovação e Gestão da Informação da UTAD, de 23 Julho de 2010 a 29 Julho de 2013.

Produziu mais de 150 trabalhos académicos, entre capítulos de livros, artigos em revistas e artigos em atas de eventos ciêntificos. Orientou 40 trabalhos de pós-graduação (mestrados e doutoramentos).

Participou em 35 projetos de investigação e desenvolvimento (foi investigador principal em 15 destes projetos).

Participou na organização de vários encontros científicos de natureza internacional, em 2006 coordenou a equipa que criou a conferência “Software Development for Enhancing Accessibility and Fighting Info-exclusion (www.dsai.ws/2016) e em 2016 a conferência Technology and Innovation is Sports, Health and Wellbeing (www.tishw.ws/2016).

As áreas principais de investigação são: Processamento Digital de Imagem, Acessibilidade e Interação pessoa Computador.

Google Scholar: http://scholar.google.com/citations?user=HBVvNYQAAAAJ&hl=en

SCOPUS: http://www.scopus.com/authid/detail.url?authorId=20435746800

Tópicos
de interesse
Detalhes

Detalhes

  • Nome

    João Barroso
  • Cluster

    Informática
  • Cargo

    Investigador Coordenador
  • Desde

    01 outubro 2012
007
Publicações

2020

Correction to: A review of assistive spatial orientation and navigation technologies for the visually impaired

Autores
Fernandes, H; Costa, P; Filipe, V; Paredes, H; Barroso, J;

Publicação
Universal Access in the Information Society

Abstract
The fourth author name was missed in the original publication. The correct list of authors should read as “Hugo Fernandes, Paulo Costa, Vitor Filipe, Hugo Paredes, João Barroso”. It has been corrected in this erratum. The original article has been updated. © 2017 Springer-Verlag GmbH Germany

2020

Special issue on accessibility and software design for all

Autores
Barroso, J; Lopez, LM; Paredes, H; Puehretmair, F; Rocha, T;

Publicação
Universal Access in the Information Society

Abstract

2020

UAV Landing Using Computer Vision Techniques for Human Detection

Autores
Safadinho, D; Ramos, J; Ribeiro, R; Filipe, V; Barroso, J; Pereira, A;

Publicação
SENSORS

Abstract
The capability of drones to perform autonomous missions has led retail companies to use them for deliveries, saving time and human resources. In these services, the delivery depends on the Global Positioning System (GPS) to define an approximate landing point. However, the landscape can interfere with the satellite signal (e.g., tall buildings), reducing the accuracy of this approach. Changes in the environment can also invalidate the security of a previously defined landing site (e.g., irregular terrain, swimming pool). Therefore, the main goal of this work is to improve the process of goods delivery using drones, focusing on the detection of the potential receiver. We developed a solution that has been improved along its iterative assessment composed of five test scenarios. The built prototype complements the GPS through Computer Vision (CV) algorithms, based on Convolutional Neural Networks (CNN), running in a Raspberry Pi 3 with a Pi NoIR Camera (i.e., No InfraRed-without infrared filter). The experiments were performed with the models Single Shot Detector (SSD) MobileNet-V2, and SSDLite-MobileNet-V2. The best results were obtained in the afternoon, with the SSDLite architecture, for distances and heights between 2.5-10 m, with recalls from 59%-76%. The results confirm that a low computing power and cost-effective system can perform aerial human detection, estimating the landing position without an additional visual marker.

2020

Communication Protocol for Unmanned Vehicles : An Architectural Approach

Autores
Ramos, J; Ribeiro, R; Safadinho, D; Barroso, J; Pereira, A;

Publicação
2020 Global Internet of Things Summit, GIoTS 2020, Dublin, Ireland, June 3, 2020

Abstract
The great potential of Unmanned Vehicles (UV) for services is supported by the evolution of drones and their flexible ability to help us performing dangerous, boring and difficult tasks. The common communication solutions e.g., radio, consider a pilot and a vehicle in the same location. Besides, the alternatives based on Ground Control Stations (GCS) are difficult to configure, which makes it difficult for a common user and a developer to use and/or implement new services for drones. This work proposes a solution with a new messaging protocol to overcome the previous problems, allowing controlling a UV in a remote location after a simple configuration. The implementation of this approach is based on a cloud platform, responsible for UV and user management, and on TCP/IP WebSockets for the user to control remotely located vehicles, anytime and anywhere. This research starts with the analysis of the prior work regarding UV communication technologies and the available GCS. Minding the identified problems, we designed an architecture that represents a cloud platform and multiple users and UVs in different networks. To prototype this architecture, we developed the user interface, the platform and the UV control module. The functional assessment considers a generic simplified and controlled scenario, focusing on the real-time control and video stream. The results confirmed the possibility to control a UV in a different location, in real-time, with an average response time of 25ms. This work provides valuable insights regarding the communication in the fields of anytime and anywhere device control and vehicle-based services. © 2020 IEEE.

2019

Submitted to the WorldCIST'17: The AppVox mobile application, a tool for speech and language training sessions

Autores
Rocha, T; Goncalves, C; Fernandes, H; Reis, A; Barroso, J;

Publicação
Expert Systems

Abstract
AppVox is a mobile application that provides support for children with speech and language impairments in their speech therapy sessions, while also allowing autonomous training at home. The application simulates a vocalizer with an audio stimulus feature, which can be used to train and amend the pronunciation of specific words through repetition. In this paper, we aim to present the development of the application as an assistive technology option, by adding new features to the vocalizer as well as assessing it as a usable option for daily training interaction for children with speech and language impairments. In this regard, we invited 15 children with speech and language impairments and 20 with no impairments to perform training activities with the application. Likewise, we asked three speech therapists and three usability experts to interact, assess, and give their feedback. In this assessment, we include the following parameters: successful conclusion of the training tasks (effectiveness); number of errors made, as well as number and type of difficulties found (efficiency); and the acceptance and level of comfort in completing the requested tasks (satisfaction). Overall, the results showed that children conclude the training tasks successfully and helped to improve their language and speech capabilities. Therapists and children gave positive feedback to the AppVox interface. © 2019 John Wiley & Sons, Ltd

Teses
supervisionadas

2019

Sistema de processamento e visualização de dados de atletas

Autor
Nuno Miguel Ferreira Cerdeira Lopes

Instituição
UTAD

2019

Plataforma de Controlo e Serviços de Veículos não Tripulados

Autor
João Ramos

Instituição
UTAD

2019

Facial image processing to monitor physical exercise intensity

Autor
Salik Ram Khanal

Instituição
UTAD

2019

Um modelo para a capacitação individual através da personalização intrinseca de tarefas de crowdsourcing

Autor
Dennis Lourenço Paulino

Instituição
UTAD

2019

Acessibilidade dos conteúdos educacionais online na perspetiva da experiência do aluno cego

Autor
Isolda Veronese Moniz Vianna Lisboa

Instituição
UTAD