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  4. CareCam: An Intelligent, Camera-based Health Companion at the Workplace
 
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2022
Conference Paper
Title

CareCam: An Intelligent, Camera-based Health Companion at the Workplace

Abstract
Health assistant tools at the workplace may contribute to preventing work-related absenteeism, increasing overall employee satisfaction, and reducing the costs of sickness or presenteeism in the long term. The tools may be integrated into a digital corporate health management strategy. Despite their huge potential, a major drawback of common tools (e.g., wearables, dedicated cameras) are that they require direct interaction, skin contact, or come with a high acquisition cost. A concept for unobtrusive and software-based monitoring to increase long-term health, improve working conditions or show the necessary adjustments to the new work situation can help to solve these problems. This paper presents a concept that shows how a simple webcam can be utilized to record vital signs, posture, and behavior during working hours. It offers individual and intelligent interven-tions and recommendations based on these data to reduce psychological and physical stress. Our approach demonstrates that the required parameters can be used to offer user-tailored interventions based on simple rules. We present a pro-totypical implementation of an intelligent health companion and show avenues for future research.
Author(s)
Kraft, Dimitri  
Fraunhofer-Institut für Graphische Datenverarbeitung IGD  
Schmidt, Angelina
Univ. Rostock  
Oschinsky, Frederike Marie
Fraunhofer-Institut für Graphische Datenverarbeitung IGD  
Büttner, Lea
Fraunhofer-Institut für Graphische Datenverarbeitung IGD  
Lambusch, Fabienne
Univ. Rostock  
Laerhoven, Kristof van
Univ. Siegen  
Bieber, Gerald  
Fraunhofer-Institut für Graphische Datenverarbeitung IGD  
Fellmann, Michael
Univ. Rostock  
Mainwork
NeuroIS Retreat 2022. Proceedings  
Conference
Conference "NeuroIS Retreat" 2022  
Open Access
DOI
10.24406/publica-579
File(s)
RI22P005_CareCam-An-Intelligent-Camerapdf.pdf (196.34 KB)
Rights
CC BY 4.0: Creative Commons Attribution
Language
English
Fraunhofer-Institut für Graphische Datenverarbeitung IGD  
Keyword(s)
  • Lead Topic: Individual Health

  • Research Line: Computer vision (CV)

  • Machine learning

  • Mental health

  • Stress

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