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Sobre

Sobre

Dennis recebeu o grau de Mestre em Engenharia Informática na UTAD em Dezembro de 2018. Ele participou desde Setembro de 2016 até Dezembro de 2018 no projeto NanoStima RL2 - Passus Mobile, sendo responsável pelo desenvolvimento de um sistema que supervisiona o exercício nas pessoas com doença arterial periférica. No período entre Janeiro de 2019 e Novembro de 2019, fez parte do projeto Ecsaap, com o objetivo de desenvolver um sistema informático para a visualização e deteção de fenómenos metereológicos.

Em Dezembro de 2019 começou o Doutoramento em Informática na UTAD, com bolsa financiada pela FCT.

Tópicos
de interesse
Detalhes

Detalhes

  • Nome

    Dennis Lourenço Paulino
  • Cluster

    Informática
  • Cargo

    Assistente de Investigação
  • Desde

    01 setembro 2016
002
Publicações

2021

Supervised physical exercise therapy of peripheral artery disease patients: M-health challenges and opportunities

Autores
Paredes, H; Paulino, D; Barroso, J; Abrantes, C; Machado, I; Silva, I;

Publicação
Proceedings of the 54th Hawaii International Conference on System Sciences

Abstract

2021

Using Expert Crowdsourcing to Annotate Extreme Weather Events

Autores
Paulino, D; Correia, A; Barroso, J; Liberato, M; Paredes, H;

Publicação
Advances in Intelligent Systems and Computing - Trends and Applications in Information Systems and Technologies

Abstract

2020

Usage of Mobile Technologies for Diseases Inference: A Literature Review

Autores
Khanal, SR; Reis, A; Paulino, D; Bhandari, D; Paredes, H; Barroso, J;

Publicação
DSAI 2020: 9th International Conference on Software Development and Technologies for Enhancing Accessibility and Fighting Info-exclusion, Virtual Event, Portugal, December 2-4, 2020.

Abstract

2020

Assessment of wizards for eliciting users' accessibility preferences

Autores
Paulino, D; Pinheiro, P; Rocha, J; Martins, P; Rocha, T; Barroso, J; Paredes, H;

Publicação
DSAI 2020: 9th International Conference on Software Development and Technologies for Enhancing Accessibility and Fighting Info-exclusion, Virtual Event, Portugal, December 2-4, 2020.

Abstract

2019

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

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

Publicação
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.