An Architecture for Social Robot-assisted Subjective and Objective Health Monitoring

Caterina Neef, Sebastian Schneider, Anja Richert

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Abstract

The population of the world is growing older, while the shortage of required health care workers is growing increasingly severe. To combat this situation and support the independence and autonomy of older adults while reducing the burden of their caregivers, we propose a health monitoring system to assess and monitor subjective and objective health data. The system includes a conversational AI integrated into a social robot, various connected health devices, and a mobile and web app to visualize all acquired data. We formulated system requirements based on expert interviews with health care workers and literature findings. In this paper, we present the resulting system architecture integrating all health monitoring components using individual microservices, along with an app designed for our target group of older adults and their caregivers. Our goal with the proposed system is to support older adults in taking charge of their own health, thus promoting healthy and positive aging.
Original languageEnglish
Title of host publication2022 IEEE International Conference on Advanced Robotics and Its Social Impacts (ARSO)
Number of pages6
ISBN (Electronic)978-1-6654-7966-0
DOIs
Publication statusE-pub ahead of print/First online - 27 Jun 2022
Externally publishedYes
EventIEEE International Conference on Advanced Robotics and Its Social Impacts, ARSO 2022 - Long Beach, United States
Duration: 28 May 202230 May 2022

Conference

ConferenceIEEE International Conference on Advanced Robotics and Its Social Impacts, ARSO 2022
Abbreviated titleARSO 2022
Country/TerritoryUnited States
CityLong Beach
Period28/05/2230/05/22

Keywords

  • n/a OA procedure

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