TV Interaction as a Non-Invasive Sensor for Monitoring Elderly Well-Being at Home.

The number of technical solutions to remotely monitoring elderly citizens and detecting hazard situations has been increasing in the last few years. These solutions have dual purposes: to provide a feeling of safety to the elderly and to inform their relatives about potential risky situations, such as falls, forgotten medication, and other unexpected deviations from daily routine. Most of these solutions are based on IoT (Internet of Things) and dedicated sensors that need to be installed at the elderly's houses, hampering mass adoption. This justifies the search for non-invasive technical alternatives with smooth integration that relying only on existent devices, without the need for any additional installations. Therefore, this paper presents the SecurHome TV ecosystem, a technical solution based on the elderly's interactions with their TV sets-one of the most used devices in their daily lives-acting as a non-invasive sensor enabling one to detect potential hazardous situations through an elaborated warning algorithm. Thus, this paper describes in detail the SecurHome TV ecosystem, with special emphasis on the warning algorithm, and reports on its validation process. We conclude that notwithstanding some constraints while setting the user's pattern, either upon the cold start of the application or after an innocuous change in the user's TV routine, the algorithm detects most hazardous situations contributing to monitor elderly well-being at home.

Development of an Anomaly Alert System Triggered by Unusual Behaviors at Home.

In many countries, the number of elderly people has grown due to the increase in the life expectancy of the population, many of whom currently live alone and are prone to having accidents that they cannot report, especially if they are immobilized. For this reason, we have developed a non-intrusive IoT device, which, through multiple integrated sensors, collects information on habitual user behavior patterns and uses it to generate unusual behavior rules. These rules are used by our SecurHome system to send alert messages to the dependent person's family members or caregivers if their behavior changes abruptly over the course of their daily life. This document describes in detail the design and development of the SecurHome system.

Development and feasibility analysis of an assistance system for high school students with dyslexia.

BACKGROUND: Students with dyslexia may be at a disadvantage on timed assessments that require reading skills compared to their non-dyslexic peers, even though they are not necessarily less intelligent or less prepared than these students. AIMS: The study aims to analyze the possible benefits in reading comprehension and reading fluency of students with Dyslexia when using an assistance tool in an evaluation that requires reading skills. METHODS AND PROCEDURES: Each participant with dyslexia did a reading comprehension assessment in two different reading interfaces: on a white paper and in our previously developed tool, in order to assess and compare their reading comprehension and reading fluency. OUTCOMES AND RESULTS: The results obtained show that students with dyslexia could benefit from the point of view of fluency and reading comprehension by using compensation software that helps them read in situations of anxiety. CONCLUSIONS AND IMPLICATIONS: Properly designed assistive tools can enhance the reading skills of young people with dyslexia. The developed tool should be improved considering the improvements proposed in the present studies, in the same way it is suggested to carry out a study with a larger number of participants and evaluate them individually.