Abstract
Communication between the different actors present in the school ecosystem is an essential issue. However, in a busy world where parents do not have much time to visit schools regularly, it is crucial to create mechanisms to better monitor student success and school demands. The current pandemic situation caused by the coronavirus has highlighted the role that technologies have in supporting the mission of schools and communication between the various school actors. The interaction between school, students and parents presents a growing and complex challenge. Technology has, in recent years, shaped the concepts of support and monitoring of learning - at school and outside it - as well as the way in which information flows between all actors in the school ecosystem. Emergently, the evolution of mobile applications, combined with the evolution of the capabilities of mobile devices, has enabled the creation of new and more effective intercommunication mechanisms, with ubiquitous approaches and in a predictable scenario of less willingness for physical interaction of the different actors. Based on these premises, this article reflects on the potential of mobile devices and their applications to support new models of intercommunication between parents or school sponsors, students and teachers. In this sense, a conceptual model is proposed that represents a work in progress that aims at creating and evaluating a prototype system capable of improving intercommunication and the overall success of the societal challenges of the school learning system.

Abstract
This article proposes a robotic system that aims to support the elderly, to comply with the medication regimen to which they are subject. The robot uses its locomotion system to move to the elderly and through computer vision detects the packaging of the medicine and identifies the person who should take it at the correct time. For the accomplishment of the task, an application was developed supported by a database with information about the elderly, the medicines that they have prescribed and the respective timetable of taking. The experimental work was done with the robot NAO, using development tools like MySQL, Python, and OpenCV. The elderly facial identification and the detection of medicine packing are performed through computer vision algorithms that process the images acquired by the robot's camera. Experiments were carried out to evaluate the performance of object recognition, facial detection, and facial recognition algorithms, using public databases. The tests made it possible to obtain qualitative metrics about the algorithms' performance. A proof of concept experiment was conducted in a simple scenario that recreates the environment of a dwelling with seniors who are assisted by the robot in the taking of medicines.

Abstract
External defibrillators are recognized effective to revert ventricular fibrillation and pulseless ventricular tachycardia. This paper presents a new settable defibrillator, designed to assess the effectiveness of the following defibrillation waveforms during clinical trials: monophasic damped sinusoidal (MDS); biphasic truncated exponential (BTE) and rectilinear biphasic waveform (RBW). The device flexibility allows the setting of the defibrillation waveforms most relevant parameters, namely energy and pulses duration. The device usage is also relevant in biomedical engineer and medical staff education and training programs.

Abstract
In previous works, an educational platform based on Matlab/Simulink/Lego EV3 has been developed that allows interacting in real time with the robot. However, this platform is limited to the capacity of Simulink to adapt to different robotic devices, limiting its use to LEGO and Arduino or Rasberry Pi robots. In this paper we present a generalization of this platform to any type of robot, based on Matlab/ROS/Robot. Robot Operating System (ROS) is a robotic middleware, that is, a collection of frameworks for software development of robots [4]. Despite not being an operating system, ROS provides standard services such as hardware abstraction, control of low-level devices, etc. MATLAB (R) support for ROS is a library of functions that allows you to exchange data with ROS-enabled physical robots. Matlab/ROS/Robot interaction is tested in a generic robot with Arduino Mega and Raspberry Pi 3, demonstrating the viability of the presented educational robotic platform.

Abstract
Mobile robotics has become an essential content in many subjects within most Bachelor's and Master's degrees in engineering. Visual sensors have emerged as a powerful tool to perform reliable localization and mapping tasks for a mobile robot. Moreover, the use of images permits achieving other high level tasks such as object and people detection, recognition, or tracking. Nonetheless, our teaching experience confirms that students encounter many difficulties before dealing with visual localization and mapping algorithms. Initial stages such as data acquisition (images and trajectory), preprocessing or visual feature extraction, usually imply a considerable effort for many students. Consequently, the teaching process is prolonged, whereas the active learning and the students' achievement are certainly affected. Considering these facts, we have implemented a Matlab software tool to generate an open variety of virtual environments. This allows students to easily obtain synthetic raw data, according to a predefined robot trajectory inside the designed environment. The virtualization software also produces a set of images along the trajectory for performing visual localization and mapping experiments. As a result, the overall testing procedure is alleviated and students report to take better advantage of the lectures and the practical sessions, thus demonstrating higher achievement in terms of comprehension of fundamental mobile robotics concepts. Comparison results regarding the achievement of students, engagement, satisfaction and attitude to the use of the tool, are presented.

Abstract
In research carried out by the Brazilian Institute of Geography and Statistics (IBGE), alarming data on motor diseases are disclosed, in which it is shown that 7% of the Brazilian population has some type of motor deficiency. The gaming industry is the most profitable entertainment industry today, yet the area of gaming adapted for people with motor disabilities is under-explored. Thinking about it, this work proposes to develop a work environment (Framework) to facilitate the creation of accessible games using eye tracking, thus giving the possibility of playing with just the eyes. © Springer Nature Singapore Pte Ltd 2020.