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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

System to detect and approach humans from an aerial view for the landing phase in a UAV delivery service

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

Publicação
Advances in Intelligent Systems and Computing

Abstract
The possibility to engage in autonomous flight through geolocation-based missions turns Unmanned Aerial Vehicles (UAV) into valuable tools that save time and resources in services like deliveries and surveillance. Amazon is already developing a drop-by delivery service, but there are limitations regarding the client’s id, that can be analyzed in three phases: the approach to the potential receiver, the authorization through the client id and the delivery itself. This work shows a solution for the first of these phases. Firstly, the receiver identifies the GPS coordinates where he wants to receive the package. The UAV flights to that place and tries to locate the receiver on the arrival through Computer Vision (CV) techniques, more precisely Deep Neural Networks (DNN), to continue to the next phase, the identification. After the proposal of the system’s architecture and the prototype’s implementation, a test scenario to analyze the feasibility of the proposed techniques was created. The results were quite good considering a system to look for one person in a limited area defined by the destination coordinates, confirming the detection of one person with an up to 92% accuracy from a 10 m height and 5 m horizontal distance in low resolution images. © Springer Nature Switzerland AG 2020.

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.

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

2019

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 overall objective of this work is to review the assistive technologies that have been proposed by researchers in recent years to address the limitations in user mobility posed by visual impairment. This work presents an “umbrella review.” Visually impaired people often want more than just information about their location and often need to relate their current location to the features existing in the surrounding environment. Extensive research has been dedicated into building assistive systems. Assistive systems for human navigation, in general, aim to allow their users to safely and efficiently navigate in unfamiliar environments by dynamically planning the path based on the user’s location, respecting the constraints posed by their special needs. Modern mobile assistive technologies are becoming more discrete and include a wide range of mobile computerized devices, including ubiquitous technologies such as mobile phones. Technology can be used to determine the user’s location, his relation to the surroundings (context), generate navigation instructions and deliver all this information to the blind user. © 2017 Springer-Verlag GmbH Germany

Teses
supervisionadas

2019

Sistema de processamento e visualização de dados de atletas

Autor
Nuno Miguel Ferreira Cerdeira Lopes

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

2019

Software-defined Things no apoio a idosos

Autor
Daniel Fuentes

Instituição
UTAD

2019

Plataforma de Controlo e Serviços de Veículos não Tripulados

Autor
João Ramos

Instituição
UTAD