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  4. Mental and Physical Training for Elderly Population using Service Robots
 
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2022
Conference Paper
Title

Mental and Physical Training for Elderly Population using Service Robots

Abstract
In this paper we present the implementation and evaluation of mental and physical exercise applications on a humanoid service robot for use in an elderly care setting. As the mental exercise application a personalized, multi-medial quiz was designed and implemented using information from participants biography. The robot acts as the quiz master, interacting with the participants in a natural and encouraging way. For the physical exercise, a variant of the “charade” game was implemented that uses machine learning from previously collected video samples and computer vision on the robot to identify the activities that participants enact. Both applications were evaluated successfully in a real life setting and highlight the potential of using service robots in elderly care settings.
Author(s)
Ruff, Christopher  orcid-logo
Fraunhofer-Institut für Arbeitswirtschaft und Organisation IAO  
Johnson Jeyakumar, Isaac Henderson  orcid-logo
Univ. Stuttgart, Institut für Arbeitswissenschaft und Technologiemanagement -IAT-  
Vetter, Tibor
Wohlfahrtswerk für Baden-Württemberg
Horch, Andrea
Fraunhofer-Institut für Arbeitswirtschaft und Organisation IAO  
Mainwork
IJCCI 2022, 14th International Joint Conference on Computational Intelligence. Proceedings  
Project(s)
16SV7941  
Funder
Bundesministerium für Bildung und Forschung  
Conference
International Joint Conference on Computational Intelligence 2022  
Open Access
DOI
10.5220/0011528200003332
Additional link
Full text
Language
English
Fraunhofer-Institut für Arbeitswirtschaft und Organisation IAO  
Keyword(s)
  • elderly care

  • robotics

  • social robot

  • mental exercise

  • physical exercise

  • health-care

  • social human-robot interaction

  • companion robots

  • personalization

  • biography work

  • artificial intelligence

  • robot vision

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