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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

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.

2018

eHealth Context Inference - A Review of Open Source Frameworks Initiatives

Authors
Reis, A; Paulino, D; Martins, P; Paredes, H; Barroso, J;

Publication
Proceedings of the 11th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2018) - Volume 5: HEALTHINF, Funchal, Madeira, Portugal, January 19-21, 2018.

Abstract

2018

Using online artificial vision services to assist the blind - An assessment of microsoft cognitive services and google cloud vision

Authors
Reis, A; Paulino, D; Filipe, V; Barroso, J;

Publication
Advances in Intelligent Systems and Computing

Abstract
The visually impaired must face several well-known difficulties on their daily life. The use of technology in assistive systems can greatly improve their lives by helping with navigation and orientation, for which several approaches and technologies have been proposed. Lately, it has been introduced powerful online image processing services, based on machine learning and deep learning, promising truly cognitive assessment capacities. Google and Microsoft are two of these main players. In this work we built a device to be used by the blind in order to test the usage of the Google and Microsoft services to assist the blind. The online services were tested by researchers in a laboratory environment and by blind users on a large meeting room, familiar to them. This work reports on our findings regarding the online services effectiveness, the user interface and system latency. © Springer International Publishing AG, part of Springer Nature 2018.

2018

Monitoring the physical activity of patients suffering from peripheral arterial disease

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

Publication
Mobile Applications and Solutions for Social Inclusion

Abstract
The peripheral arterial disease (PAD) is characterized by leg pain during walking, and a recommended treatment for this disease is to perform supervised physical activity. In this chapter, a system that monitories the physical activity containing one application for smartwatch, one application for smartphone, and a back-end webservice is presented. The applications collect heart rate, GPS locations, step count, and altitude data. The methodology used for the development of the system was based on the agile method with the production of prototypes. In this chapter, four development cycles, which cover the users' and researchers' needs, are presented. In this work, the main objective is to evaluate the current mobile technologies on the physical activity data collection and the development of a system that assists the users to maintain an active life. © 2018, IGI Global.