Validating mm-Wave Radar System for Fall Detection and Recovery in Washrooms
Falls are a leading cause of death among individuals over 65, making timely detection crucial for preventing fatalities and improving recovery. Washrooms, despite being high-risk areas for falls, are underrepresented in fall detection research. This study aims to validate a non-contact fall-detection system capable of continuous and reliable monitoring in cluttered washroom environments, including scenarios involving common walking aids. The system uses Single Input Multiple Output Frequency-Modulated Continuous Wave (SIMO FMCW) radar to detect falls from both sitting and standing positions. Four participants simulated falls and fall recoveries in various scenarios, such as sitting on a toilet or wheelchair, standing with a walker, and standing freely. The system's ability to differentiate between falls and recoveries was also tested, as recovered falls are significant for fall history and injury risk. The radar system demonstrated an average fall detection accuracy of 100 % and a recovery detection accuracy of 92.5%. The findings support the use of SIMO FMCW radar as an effective, non-contact emergency alert system for washroom falls. This affordable and convenient system offers a life-saving solution for fall monitoring in personal spaces, ensuring safety while respecting privacy. Clinical Relevance-Our non-contact, autonomous fall detection system demonstrates 100 accuracy in detecting falls within washrooms and 92.5 % accuracy in detecting fall recoveries.
Authors
- Jun Ho Bae (ORCID: https://orcid.org/0000-0002-5371-8177)
- Joshua Visser
- George Shaker (ORCID: https://orcid.org/0000-0002-1450-2138)
- Hajar Abedi (ORCID: https://orcid.org/0000-0002-4089-0373)
- Senior Member
- J Hall
Publication Details
- Published
- 2024-09-19
- DOI
- https://doi.org/10.1109/hi-poct64255.2024.10876204
- Primary Topic
- Postharvest Quality and Shelf Life Management
- Type
- article
- Field-Weighted Citation Impact
- 0.00