AI that Cares for Aging at Home (Care@Home)

This project aims to develop a non-contact monitoring ecosystem for older adults based on NASS (Nearable & Airable Smart Sensors) and advanced artificial intelligence. The system will enable comprehensive monitoring of body posture, vital signs, and activities of daily living without the use of invasive sensors. By integrating TinyML technologies, the system will be capable of efficient on-device data processing, thereby reducing data transmission and enhancing privacy protection. The project will establish a secure and ethical framework for the processing of sensitive data and will validate the system in both clinical and real-life environments to ensure its practical applicability. The main objective is to develop a reliable solution that improves the quality of life of older adults, supports telecare, and reduces caregiver burden. The key tasks of RSU within the project are to develop a scientifically and clinically grounded set of monitoring parameters (physical condition, vital signs, activities of daily living (ADL), and environmental factors) that serve as a basis for effective non-contact monitoring, as well as to evaluate the system’s performance and adaptability across different older adult profiles in order to identify significant behavioural and health patterns and to ensure suitability for personalized care solutions.

Project Team

• Project leader – Kristaps Circenis
• Researchers – Aiga Lasmane, Eva Cela
   

Project Coordinator

Kaunas University of Technology (Lithuania)

Project partners

• Lithuanian University of Health Sciences (Lithuania)
• Tallinn University of Technology (Estonia)
• Jagiellonian University (Poland)
• ampere University (Finland)
• Linköping University (Sweden)
• Servicio Cántabro de Salud (Spain)

Project “AI that Cares for Aging at Home” (Care@Home) is funded under the 2025 call of the European Partnership “European Partnership on Transforming Health and Care Systems” THCS (Grant agreement No. 101095654) within the Horizon Europe programme and Latvian Council of Science (Agreement No. ES RTD/2026/07).