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About

About

Dennis has received the Bachelor´s degree in Informatic Engineer, at UTAD in June 2016. Since September 2016, he is currently taking the Master´s Degree in Informatic Engineer at UTAD. He participates since September 2016 in the project NanoSTIMA RL2 - Passus Mobile, responsible for developing a system that makes exercise supervision of people with peripheral arterial disease.

Interest
Topics
Details

Details

  • Name

    Dennis Lourenço Paulino
  • Cluster

    Computer Science
  • Role

    Research Assistant
  • Since

    01st September 2016
001
Publications

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.

2018

Technologies Applied to Remote Supervision of Exercise in Peripheral Arterial Disease: A Literature Review

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

Publication
Universal Access in Human-Computer Interaction. Virtual, Augmented, and Intelligent Environments - 12th International Conference, UAHCI 2018, Held as Part of HCI International 2018, Las Vegas, NV, USA, July 15-20, 2018, Proceedings, Part II

Abstract
In this review the objective is to search for technologies that supervise the exercise or physical activity of people suffering from Peripheral Arterial Disease (PAD) at home or in the community. Patients with PAD have walking limitations and their quality of life progressively deteriorates. The regular practice of exercise can help mitigate these effects and even improve their health status. The methodology used was to search for scientific articles published since 2008, with the final result of 18 articles. The results show the most frequent technologies used are based on the accelerometer device, with the tests being performed on a treadmill at a hospital. The hospital tests are expensive, so a useful and viable alternative is the usage of mobile devices to help the health professionals record the exercise performed by their patients suffering with PAD. © Springer International Publishing AG, part of Springer Nature 2018.

2017

Mobile devices to monitor physical activity and health data

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

Publication
2017 12th Iberian Conference on Information Systems and Technologies (CISTI)

Abstract