Smartphone-Based Personalised Fall Detection and Emergency Response
Mobile-based fall detection and response system
Tunstall Emergency Response collaborated with the Technological University of the Shannon (TUS) through the Enterprise Ireland-supported COMAND Technology Gateway to explore the application of artificial intelligence and mobile sensing technologies to enhance fall detection and telecare services. The joint research initiative, FallResp, focused on developing a mobile-based fall detection and response system capable of leveraging smartphone sensors and intelligent data analysis to support more responsive and reliable emergency monitoring.
Intelligent mobile-based system
As telecare providers continue to expand services that support independent living and remote care, they face increasing technical and operational challenges. Traditional fall detection solutions, often based on fixed wearable devices or manual alerts, can be limited in their ability to adapt to diverse user behaviours and environments.
Through the FallResp project, Tunstall Emergency Response and TUS explored the development of an intelligent mobile-based system capable of detecting falls and supporting emergency response services using smartphone technologies. The research focused on developing and evaluating a prototype system that leverages mobile sensors, cloud-based data processing, and machine learning techniques.
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Irish Company
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Innovation Partnership Project
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Prototype System
“Working with the Technological University of the Shannon enabled us to explore innovative AI-driven approaches to fall detection and emergency response. The collaboration brought together our operational expertise in telecare services with TUS’s advanced research capabilities in artificial intelligence and mobile systems. The results demonstrate the potential to significantly improve fall detection accuracy while extending monitoring services beyond traditional indoor environments.“
James Doyle – Managing Director, Tunstall Emergency Response Ltd
Tunstall Emergency Response & COMAND Technology Gateway partnership
The FallResp project demonstrates how artificial intelligence and mobile sensing technologies can enhance telecare services and support more responsive emergency monitoring systems. Key outcomes include:
- Demonstration of the feasibility of smartphone-based fall detection solutions
- Improved understanding of how mobile sensors and AI can support fall monitoring
- Development of prototype technologies that can support future telecare innovations
- Strengthened collaboration between industry and academic researchers
- New opportunities for research and innovation in digital health technologies
The project ran from March 2024 to November 2025, delivering several research and development milestones focused on system design, prototype development, and experimental validation.