Cookies Policy
We use cookies to improve our site and your experience. By continuing to browse our site you accept our cookie policy. Find out More
Close
  • Menu
About
Download Photo HD

About

Hugo Paredes (M) received B.Eng. and Ph.D. degrees in Computer Science from the University of Minho, Braga, Portugal, in 2000 and 2008, and the Habilitation title from the University of Tras-os-Montes e Alto Douro (UTAD), Vila Real, Portugal in 2016. He was software engineer at SiBS, S.A. and software consultant at Novabase Outsoursing, S.A. Since 2003, he has been at UTAD, where he is currently Assistant Professor with Habilitation, lecturing on systems integration and distributed systems. In 2017 he was a visiting faculty at Human Computer Interaction Institute at Carnegie Mellon University, Pittsburgh, PA. Currently he is the director of the Master Program in Informatics Engineering at UTAD, and a member of the managing board of the PhD in Computer Science at UTAD.
He is  Assistant Coordinator of the Computer Graphics and Information Systems Center (CSIG) and a Senior Researcher at Institute for Systems and Computer Engineering, Technology and Science – INESC TEC. His main research interests are in the domain of Human-Computer Interaction, including crowd computing, collaborative systems and accessibility topics. He is a member of the J.UCS board of editors, was guest editor of three Special Issues in journals indexed by the Journal Citation Reports and collaborates with the organization of several international conferences. He has authored or co-authored more than 100 refereed journal, book chapters and conference papers. He is one of the inventors of a granted patent and a patent pending request. He participated and lead several projects, including national and international projects, with public and private funding.

Interest
Topics
Details

Details

  • Name

    Hugo Paredes
  • Cluster

    Computer Science
  • Role

    Assistant Centre Coordinator
  • Since

    01st June 2012
005
Publications

2020

Combined Aerobic and Resistance Exercise in Walking Performance of Patients With Intermittent Claudication: Systematic Review

Authors
Machado, I; Sousa, N; Paredes, H; Ferreira, J; Abrantes, C;

Publication
FRONTIERS IN PHYSIOLOGY

Abstract
Background: The short-term benefits of aerobic and resistance exercise in subjects affected by Peripheral Arterial Disease (PAD) are scarcely examined in interaction. This study aimed to identify the effects of combined aerobic and resistance exercise programs on walking performance compared with isolated aerobic exercise or with the usual care in patients with intermittent claudication. Methods: A systematic review was conducted following the PRISMA statement. A total of five electronic databases were searched (until October 2019) for randomized and non-randomized controlled trials. The focus comprised PAD patients with intermittent claudication who performed a combined aerobic and resistance exercise program that assessed the walking performance. Results: Seven studies include combined aerobic and resistance exercise vs. isolated aerobic or vs. usual care. The studies represented a sample size of 337 participants. The follow-up ranged from 4 to 12 weeks, 2 to 5 times-per-week. The risk of bias in the trials was a deemed moderate-to-high risk. After the interventions, the percent change in walking performance outcomes had a large variation. In the combined and isolated aerobic programs, the walking performance always improved, while in the usual care group oscillates between the deterioration and the improvement in all outcomes. Combined exercise and isolated aerobic exercise improved the claudication onset distance from 11 to 396%, and 30 to 422%, the absolute claudication distance from 81 to 197%, and 53 to 121%, and the maximal walking distance around 23 and 10%, respectively. Conclusions: Currently, there is insufficient evidence about the effects of combined aerobic and resistance exercise compared to isolated aerobic exercise or usual care on walking performance. However, despite the low quality of evidence, the combined aerobic and resistance exercise seems to be an effective strategy to improve walking performance in patients with intermittent claudication. These combined exercise modes or isolated aerobic exercise produce positive and significant results on walking performance. The usual care approach has a trend to deteriorate the walking performance. Thus, given the scarcity of data, new randomized controlled trial studies that include assessments of cardiovascular risk factors are urgently required to better determine the effect of this exercise combination.

2019

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

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

Publication
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

2019

Creating Weather Narratives

Authors
Reis, A; Liberato, M; Paredes, H; Martins, P; Barroso, J;

Publication
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Abstract
Information can be conveyed to the user by means of a narrative, modeled according to the user’s context. A case in point is the weather, which can be perceived differently and with distinct levels of importance according to the user’s context. For example, for a blind person, the weather is an important element to plan and move between locations. In fact, weather can make it very difficult or even impossible for a blind person to successfully negotiate a path and navigate from one place to another. To provide proper information, narrated and delivered according to the person’s context, this paper proposes a project for the creation of weather narratives, targeted at specific types of users and contexts. The proposal’s main objective is to add value to the data, acquired through the observation of weather systems, by interpreting that data, in order to identify relevant information and automatically create narratives, in a conversational way or with machine metadata language. These narratives should communicate specific aspects of the evolution of the weather systems in an efficient way, providing knowledge and insight in specific contexts and for specific purposes. Currently, there are several language generator’ systems, which automatically create weather forecast reports, based on previously processed and synthesized information. This paper, proposes a wider and more comprehensive approach to the weather systems phenomena, proposing a full process, from the raw data to a contextualized narration, thus providing a methodology and a tool that might be used for various contexts and weather systems. © 2019, Springer Nature Switzerland AG.

2019

Usage of artificial vision cloud services as building blocks for blind people assistive systems

Authors
Paulino, D; Reis, A; Paredes, H; Fernandes, H; Barroso, J;

Publication
International Journal of Recent Technology and Engineering

Abstract
This study has the objective of select the best service at image processing and recognition, running in the cloud, and best suited for usage in systems to aid and improve the daily lives of blind people. To accomplish this purpose, a set of candidate services was built, including Microsoft Cognitive Services and Google Cloud Vision. A test mobile app was developed to automatically take pictures, which are sent to the online cloud services for processing. The results and the functionalities were evaluated with the aim to measure their accuracy and relevance. The following variables were registered: relative accuracy, represented by the ratio of the number of accurate results vs. the number of results shown; confidence degree, representing the service accuracy (when provided by the service); and relevance, identifying situations that can be useful in the daily lives of the blind people. The results have shown that these two services, Microsoft Cognitive Services and Google Cloud Vision, provided good accuracy and significance, in supporting systems to help blind people in their daily tasks. It was chosen some functionalities in two APIs of services running in the cloud like face identification, image description, objects, and text recognition. © BEIESP.

2019

Data quality improvement in crowdsourcing systems by enabling a positive personal user experience

Authors
Carvalho, J; Santos, A; Paredes, H;

Publication
Proceedings of the 2019 IEEE 23rd International Conference on Computer Supported Cooperative Work in Design, CSCWD 2019

Abstract
A multiplicity of innovative applications has been developed based on the mobile crowdsourcing (MCS) paradigm. One group of applications addresses the creation of accessibility maps in large cities. In this context, a conceptual model of a system for the detection and the timely notification of the existence of temporary obstacles and other dangers in the urban environment is proposed in 'Pervasive Crowd Mapping for Dynamic Environments'. This concept (PCM4DE) encompasses, among other technologies, the use of crowdsourcing. The system will be particularly useful to people with disabilities and elderly people. An exploratory literature review showed that data quality and the motivation strategies for participating in the systems based on MCS remain two of the key challenges to the effectiveness of those systems. This paper aims to contribute to the implementation of the PCM4DE concept by proposing the development of a mechanism that should improve the data quality through motivation forms which will enable a positive personal user experience, i.e., an experience which meets the participant's objectives, needs and preferences. © 2019 IEEE.

Supervised
thesis

2016

Wearable devices for blind orientation and navigation

Author
Luís Miguel Alves Fernandes

Institution
UTAD

2016

Framework de partilha de coreografias entre plataformas de mundos virtuais

Author
Fernando Jose´ Cassola Marques

Institution
UTAD

2016

Controlo e monotorização de veiculos

Author
Marco André dos Santos Fernandes

Institution
UTAD

2016

Efeitos de 12 meses de exerci´cio fi´sico supervisionado versus monitorizado com Wearables em ambulato´rio, na doenc¸a arterial perife´rica, nos seus fatores de risco associados e na aptida~o fi´sica

Author
Isabel Maria Lui´s Machado

Institution
UTAD

2016

ACEITAC¸A~O e UTILIZAC¸A~O das TECNOLOGIAS de INFORMAC¸A~O e COMUNICAC¸A~O na SAU´DE - PORTAL do UTENTE “COGNIC¸A~O, EMOC¸A~O e COMPORTAMENTO

Author
Si´lvia Maria Fernandes Ala

Institution
UTAD