Abstract
Many cloud vision APIs are available on the internet to recognize emotion from facial images and video analysis. The capacity to recognize emotions under various poses is a fundamental requirement in the area of emotion recognition. In this paper, the performance of two famous emotion recognition APIs is evaluated under the facial images of various poses. The experiments were done with the public dataset containing 980 images of each type of five poses [full left, half-left, straight, half-right, and full-right] with the seven emotions (Anger, Afraid, Disgust, Happiness, Neutral, Sadness, Surprise). It has been discovered that overall recognition accuracy is best in Microsoft Azure for straight images, whereas the face detection capability is better in Google. The Microsoft did not detect almost any of the images with full left and full right profile, but Google detected almost all of them. The Microsoft API presents an average true positive value up to 60%, whereas Google presents the maximum true positive value 45.25%.

Abstract
Analysis of student concentration can help to enhance the learning process. Emotions are directly related and directly reflect students’ concentration. This task is particularly difficult to implement in an e-learning environment, where the student stands alone in front of a computer. In this paper, a prototype system is proposed to figure out the concentration level in real-time from the expressed facial emotions during a lesson. An experiment was performed to evaluate the prototype system that was implemented using a client-side application that uses the C# code available in Microsoft Azure Emotion API. We have found that the emotions expressed are correlated with the concentration of the students, and devised three distinct levels of concentration (high, medium, and low). © Springer Nature Switzerland AG 2019.

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.

Abstract
Online tools for dyslexic diagnosis and training are mostly: free-of-charge; children-oriented, consisting in a game-based interface proved a positive correlation between video games and dyslexia [1]; and, provide auto-evaluation questions that are automatically analyzed, given results regarding the need of seeking medical attention, since these tools are not a medical exam or diagnostic. Other platforms consist on exercises/tests for dyslexic people or with speech and language impairments, helping them in the training of the word pronunciation. Although, there is a lack of solutions that allow doctors to register the evolution of their patients. In this article, it is presented an accessibility and usability assessment of a Web platform that allows children to do exercises but also lets their doctors to keep track of their evolution through graphs and detailed statistics, allowing doctors to have information on a digital format, disproving the need for tests normally done on paper [2–4], and not having to manually register variables. © Springer International Publishing AG, part of Springer Nature 2018.

Abstract
Average life expectancy of the humans has been increasing with the advancement of medicine, hence observing an aging of the population in general. Associated with aging, loss of cognitive ability and memory failure are often observed, which can have a great impact on the quality of life and autonomy of people who need to take medication on an hourly basis. In this work, we present the development of an application that helps to manage two key issues for the quality of life of the elderly: the time of medication and the time of medical consultations. The application is managed (information is added, altered or deleted) by a responsible, as a family member or health professional. After analyzing several solutions, it was verified that the biggest problem identified is the difficulty of interaction with the interface (sometimes it presents a lot of information and do not focus on functions of immediate necessity). In this context, we present a solution that focuses on two main objectives: first, to present a clear and simple list of medication and list of information of consultations; and second, to provide a simplified interface for the management of medication by a caregiver (child, nurse, and tutor). In the first development phase, we evaluated the usability of this interface, with ten health care professionals, who evidenced the potentiality of the solution presented here.

Abstract
In this paper an augmentative and alternative communication mobile application for people with language and speech impairments, called Diga Ola, is presented. With this mobile application, we aimed to assist people with speech and language impairment in their communication process, by presenting an alternative mobile solution in Portuguese language. The main results achieved on a preliminary user assessment were: first-rate performance, higher satisfaction and total autonomy in their interaction with the solution presented.