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About

About

Dennis has received the Master´s Degree in Informatic Engineer, at UTAD in December 2018. He participates since September 2016 until December 2018 in the project NanoSTIMA RL2 - Passus Mobile, responsible for developing a system that makes exercise supervision of people with peripheralarterial disease. From January 2019 until November 2019, he participated in the project Ecsaap, responsible for the construction of a informatic system to help in the visualization and detection of meteorological phenomena.

In Dezember 2019 he ingress in PhD in Informatics at UTAD, with a scholarship financed by FCT.

Interest
Topics
Details

Details

  • Name

    Dennis Lourenço Paulino
  • Cluster

    Computer Science
  • Role

    Research Assistant
  • Since

    01st September 2016
002
Publications

2021

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

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

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

Abstract

2021

Using Expert Crowdsourcing to Annotate Extreme Weather Events

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

Publication
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

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

Publication
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

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

Publication
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

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.