The KliMate project’s aim is to promote the health, social participation and general climate adaptation of older people by means of individually tailored recommendations and social mediation formats for active mobility and physical activity. To this end, a participatory approach is being developed for promoting physical activity by means of an individual approach as well as a group-based format (café and storytelling sessions) for teaching climate and health skills that contribute to climate-friendly physical activity promotion. By increasing active mobility and social participation, the aim is to counteract the psychological and physical consequences of climate change (anxiety, depression, loss of sleep, cognitive decline, deterioration in cardiovascular health).

The positive potential of KliMate for older people lies in promoting health by increasing health literacy and active mobility through personalised exercise recommendations.

This also includes health protection, especially in relation to heat, other extreme weather events and pollen.

KliMate also contributes to the empowerment and self-empowerment of older people by promoting climate, health and digital skills.

 

Project partners: AIT Austrian Institute of Technology GmbH (Projektlead), GeoSphere Austria – Bundesanstalt für Geologie, Geophysik, Klimatologie und Meteorologie, Karl Landsteiner-Gesellschaft – Verein zur Förderung der medizinisch-wissenschaftlichen Forschung, NOUS Wissensmanagement GmbH, Studio Dankl, Universität für Bodenkultur Wien

Duration: January 2024 – June 2026
Funds: FFG – Digitale Lösungen für Mensch und Gesellschaft 2022-2: Klimawandel & Gesundheit

The FFG is the central national funding organization and strengthens Austria’s innovative power. This project is funded by the FFG. www.ffg.at

       

Based on the findings of the previous project, we are creating a prototype and testing whether it can meet the expectations in a test environment. Particular attention is being paid to the key components of fall detection and systems that can independently call for help. These include:

• active emergency calls (i.e., the user calls for help),
• appropriate device responses to unusual situations (i.e., the user does not respond and the device independently detects the emergency), and
• fall prevention functions (i.e., the user is warned of potential obstacles).

In developing the system, we focus our research on the needs of future users, implement voice interaction systems as they are the most inclusive way of communication, use machine learning for emergency detection, and emphasize privacy, user-friendliness, and comfort in operating the assistance system.

 

 

Project Partners: Fachhochschule St. Pölten GmbH (Projektlead), Robert Bosch AG, Arbeiter-Samariter-Bund Gruppe Linz

Project Website: https://research.fhstp.ac.at/projekte/smart-companion-2
Duration: March 2022 – February 2025
Funds: FFG – IKT der Zukunft