Este proyecto ha sido financiado por MCIN/ AEI /10.13039/501100011033/ y por FEDER Una manera de hacer Europa. La referencia del proyecto es PID2019-104818RB-I00 y el título completo: A2HUMPA: Aprendizaje y análisis de comportamientos humanos para monitorización, asistencia personalizada y detección temprana de dolencias.
Monitoring and Detection of human behaviors for personalized assistance and early disease detection
Today’s society faces a wide variety of social challenges. The care of the dependent population, a phenomenon that affects all ages, is one of the most relevant. A clear example is the care and rehabilitation of people with congenital or acquired disabilities caused by traffic, work or domestic accidents, which represent a significant number of dependent persons. The deterioration of physical and cognitive abilities limits the autonomous life of people. This is an issue in which developed countries have put major interest. In the particular case of Spanish society, demographic forecasts indicate that, in 2020, there will be around 1.8 million dependent persons in Spain, an amount that will be increased due to the population ageing phenomenon. In this sense, there is a growing interest in the analysis and study of how new technologies can help to improve the living conditions of dependent persons.
The main objective of this project is to provide personalized assistance to dependent persons (people with disabilities and elderly). To do that, we propose to build a system able to identify changes in their normal behavior that may be used to detect anomalous situations (tremors, disorientation, memory loss, etc.) or to help the early disease detection in apparently healthy people. Although sometimes we talk about elderly people, all the developments in this project can be applied to dependent people (including people with disabilities).
As previously stated, the main objective of this project is to provide personalized assistance to dependent persons (people with disabilities and elderly). In order to achieve this goal, we have defined 4 work packages:
Work package 1: Build a monitoring system to obtain a large amount of data for further processing.
Work package 2: Identify people, recognize objects and monitor both interacting in a large environment.
Work package 3: Provide customized attention to elderly and dissable people.
Work package 4: Carry out a coordination of the proposed objectives and the dissemination of the results of the project
Miguel Cazorla (Principal Investigator)
José García Rodríguez (Principal Investigator)
Ester Martínez Martín
Eugenio Aguirre (Universidad de Granada)
Miguel García Silvente (Universidad de Granada)