• English
  • Deutsch
  • Log In
    Password Login
    Research Outputs
    Fundings & Projects
    Researchers
    Institutes
    Statistics
Repository logo
Fraunhofer-Gesellschaft
  1. Home
  2. Fraunhofer-Gesellschaft
  3. Scopus
  4. CareCam: An Intelligent, Camera-Based Health Companion at the Workplace
 
  • Details
  • Full
Options
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 interventions 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 prototypical implementation of an intelligent health companion and show avenues for future research.
Author(s)
Kraft, Dimitri  
Fraunhofer-Institut für Graphische Datenverarbeitung IGD  
Schmidt, Angelina
Oschinsky, Frederike Marie
Fraunhofer-Institut für Graphische Datenverarbeitung IGD  
Büttner, Lea
Fraunhofer-Institut für Graphische Datenverarbeitung IGD  
Lambusch, Fabienne
Laerhoven, Kristof van
Bieber, Gerald  
Fraunhofer-Institut für Graphische Datenverarbeitung IGD  
Fellmann, Michael
Mainwork
Information Systems and Neuroscience. NeuroIS Retreat 2022  
Conference
Conference "NeuroIS Retreat" 2022  
DOI
10.1007/978-3-031-13064-9_16
Language
English
Fraunhofer-Institut für Graphische Datenverarbeitung IGD  
Keyword(s)
  • Computer vision

  • Facial expression recognition

  • Imaging photoplethysmography

  • Machine learning

  • Multi-modal approach

  • Pose estimation

  • Workplace assistance

  • Workplace health

  • Cookie settings
  • Imprint
  • Privacy policy
  • Api
  • Contact
© 2024