Robotic-based well-being monitoring and coaching system for the elderly in their daily activities
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Calatrava Nicolás, Francisco Miguel; Gutiérrez Maestro, Eduardo; Bautista Salinas, Daniel; Ortiz Zaragoza, Francisco José; Roca González, Joaquín Francisco; [et al.]Área de conocimiento
Lenguajes y Sistemas InformáticosPatrocinadores
This research was funded by the Spanish Ministerio de Ciencia, Innovación y Univesidades, Agencia Estatal de Investigación (AEI) and the European Regional Development Fund (ERDF) under project ROBWELL (RTI2018-095599-A-C22) and by the Wallenberg AI, Autonomous Systems and Software Program (WASP) funded by the Knut and Alice Wallenberg Foundation.Fecha de publicación
2021-10Editorial
MDPICita bibliográfica
Calatrava-Nicolás, F.M.; Gutiérrez-Maestro, E.; Bautista-Salinas, D.; Ortiz, F.J.; González, J.R.; Vera-Repullo, J.A.; Jiménez-Buendía, M.; Méndez, I.; Ruiz-Esteban, C.; Mozos, O.M. Robotic-Based Well-Being Monitoring and Coaching System for the Elderly in Their Daily Activities. Sensors 2021, 21, 6865. https://doi.org/10.3390/s21206865Revisión por pares
siPalabras clave
assistive roboticsaffective computing
ambient assisted living
smart home
mood prediction
mental well-being
quality of life
ecological momentary assessment (EMA)
machine learning
ROS
Resumen
The increasingly ageing population and the tendency to live alone have led science and engineering researchers to search for health care solutions. In the COVID 19 pandemic, the elderly have been seriously affected in addition to suffering from isolation and its associated and psychological consequences. This paper provides an overview of the RobWell (Robotic-based Well-Being Monitoring and Coaching System for the Elderly in their Daily Activities) system. It is a system focused on the field of artificial intelligence for mood prediction and coaching. This paper presents a general overview of the initially proposed system as well as the preliminary results related to the home automation subsystem, autonomous robot navigation and mood estimation through machine learning prior to the final system integration, which will be discussed in future works. The main goal is to improve their mental well-being during their daily household activities. The system is composed of ambient intelligence ...
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