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Robotic-Based Well-Being Monitoring and Coaching System for the Elderly in Their Daily Activities

Calatrava-Nicolás, Francisco M. (författare)
ETSII (Escuela Técnica Superior de Ingeniería Industrial), Technical University of Cartagena, Cartagena, Spain
Gutiérrez-Maestro, Eduardo, 1994- (författare)
Örebro universitet,Institutionen för naturvetenskap och teknik,AASS (Applied Autonomous Sensor Systems)
Bautista-Salinas, Daniel (författare)
The Hamlyn Centre for Robotic Surgery, Imperial College London, London, UK
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Ortiz, Francisco J. (författare)
ETSII (Escuela Técnica Superior de Ingeniería Industrial), Technical University of Cartagena, Cartagena, Spain
González, Joaquín Roca (författare)
ETSII (Escuela Técnica Superior de Ingeniería Industrial), Technical University of Cartagena, Cartagena, Spain
Vera-Repullo, José Alfonso (författare)
ETSII (Escuela Técnica Superior de Ingeniería Industrial), Technical University of Cartagena, Cartagena, Spain
Jiménez-Buendía, Manuel (författare)
ETSII (Escuela Técnica Superior de Ingeniería Industrial), Technical University of Cartagena, Cartagena, Spain
Méndez, Inmaculada (författare)
Department of Evolutionary and Educational Psychology, Faculty of Psychology, Campus Regional Excellence Mare Nostrum, University of Murcia, Murcia, Spain
Ruiz-Esteban, Cecilia (författare)
Department of Evolutionary and Educational Psychology, Faculty of Psychology, Campus Regional Excellence Mare Nostrum, University of Murcia, Murcia, Spain
Martinez Mozos, Oscar, 1974- (författare)
Örebro universitet,Institutionen för naturvetenskap och teknik,AASS (Applied Autonomous Sensor Systems)
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 (creator_code:org_t)
2021-10-16
2021
Engelska.
Ingår i: Sensors. - : MDPI. - 1424-8220. ; 21:20
  • Tidskriftsartikel (refereegranskat)
Abstract Ämnesord
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  • 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 with intelligent sensors, actuators and a robotic platform that interacts with the user. A test smart home system was set up in which the sensors, actuators and robotic platform were integrated and tested. For artificial intelligence applied to mood prediction, we used machine learning to classify several physiological signals into different moods. In robotics, it was concluded that the ROS autonomous navigation stack and its autodocking algorithm were not reliable enough for this task, while the robot's autonomy was sufficient. Semantic navigation, artificial intelligence and computer vision alternatives are being sought.

Ämnesord

TEKNIK OCH TEKNOLOGIER  -- Elektroteknik och elektronik -- Robotteknik och automation (hsv//swe)
ENGINEERING AND TECHNOLOGY  -- Electrical Engineering, Electronic Engineering, Information Engineering -- Robotics (hsv//eng)

Nyckelord

ROS
affective computing
ambient assisted living
assistive robotics
ecological momentary assessment (EMA)
machine learning
mental well-being
mood prediction
quality of life
smart home

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ref (ämneskategori)
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