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About

Arsénio Reis (M) is an Informatics Specialist at the University of Trás-os-Montes e Alto Douro (UTAD). He earned a doctorate by UTAD in 2015, and in 2016 was admitted as researcher at the INESC-TEC CSIG research center. From 2006 to 2009, he served as Informatics Technical Coordinator, and from 2009 to 2014, he served as Director of the Informatics and Communications Services at UTAD. In 2007, he completed the Diploma of Specialization in Information Society and Innovation in Public Administration (DESIIAP), at the National Administration Institute (INA), and in 2009 he completed the Course of High Management of Public Administration (CADAP), at INA. During his career, he has been deeply involved in research and development projects, together with private and public partners, having represented UTAD in several occasions, such as, elected member of the UTAD’s General Council, from 2009 to 2012, and member of the executive committee of the European Information Systems Association (EUNIS), from 2009 to 2014. His main research interests have for long being in the areas of Information Systems and Software Engineering, and more recently, in the areas of Accessibly, Human Computer Interaction, and eHealth. He produced more than 40 academic papers, including book chapters, articles and communications in conference proceedings and participated in the organization of scientific meetings of various international and national nature, whith emphasizes on the organization of the EUNIS Congress in 2012 (www.eunis.pt) at UTAD.

Interest
Topics
Details

Details

  • Name

    Arsénio Reis
  • Cluster

    Computer Science
  • Role

    Affiliated Researcher
  • Since

    01st August 2016
Publications

2018

Supporting Palliative Care Services - An IS System to Monitor the Patients and Manage the Mobile Support Team

Authors
Reis, A; da Guia, EB; Rodrigues, V; 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

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

An information system to remotely monitor oncological palliative care patients

Authors
Reis, A; da Guia, EB; Sousa, A; Silva, A; Rocha, T; Barroso, J;

Publication
Advances in Intelligent Systems and Computing

Abstract
For oncological patients, the introduction of palliative care in the early stages of the disease’s progression can have great benefits. The Portuguese government recently introduced a program to provide home palliative care support by creating specialized mobile teams, able to track, visit and address the patients’ problems. These teams must be available for the patient, when necessary and if necessary. The teams must also have updated knowledge about the daily evolution of the patients’ health. The Douro Sul Healthcare Centers, together with the University of Trás-os-Montes e Alto Douro, developed and implemented an ICT system to track the status of each and every one of the patients. The system has several components, including: a mobile app for the patients or their caregivers to report daily how the patient’s symptoms have evolved over the last 24 h; a web app for the teams to browser their patients’ status. © Springer International Publishing AG, part of Springer Nature 2018.

2018

Using emotion recognition in intelligent interface design for elderly care

Authors
Khanal, SR; Reis, A; Barroso, J; Filipe, V;

Publication
Advances in Intelligent Systems and Computing

Abstract
In the later stages of the aging process, an elderly person might need the help of a family member or a caregiver. Technology can be used to help to take care of elderly persons. Autonomous systems, using special interfaces, can collect information from elderly people, which might be useful to predict and recognize health related problems or physical security problems in real time. The emerging technology of image processing, in particular, the emotion recognition, can be a good option to use in elderly care support systems. In this article, we implemented a Microsoft Azure – Emotion SDK to recognize emotion of elderly that able to detect faces and recognize emotions in real time and to be used for elderly care support. The analysis is done with an online video stream, which analyzes facial expression, so that in case of a critical emotion, e.g., if an elderly is very sad or crying, it will inform a caregiver or related entity. From the experiment, we concluded that emotion recognition is a reliable technology to be implemented in real time elderly care. © Springer International Publishing AG, part of Springer Nature 2018.

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.

Supervised
thesis

2016

-

Author
Chong liu

Institution
UM