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Research of Fall Detection and Fall Prevention Technologies: A Review.
Dan Hrubý1, Eva Hrubá1, Martin Černý1
1Faculty of Electrical Engineering and Computer Science, VSB-Technical University of Ostrava, 17. listopadu 15, 708 33 Ostrava-Poruba, Czech Republic.
Sensors (Basel, Switzerland)
|February 27, 2026
Summary
This review examines fall detection and prevention technologies for older adults. Combining wearable and unobtrusive sensors offers promising advancements in patient safety and timely fall response.
Area of Science:
- Gerontology
- Biomedical Engineering
- Public Health
Background:
- Falls are a major public health concern, especially for individuals over 60.
- Effective fall detection and prevention are crucial for improving elderly health outcomes.
Purpose of the Study:
- To comprehensively review current technologies for fall detection and prevention.
- To analyze the efficacy and application of wearable and unobtrusive sensors in fall monitoring.
- To identify future research directions for enhanced fall safety systems.
Main Methods:
- Categorization of fall detection into pre-fall prediction and post-fall detection.
- Evaluation of wearable sensors (accelerometers, gyroscopes, EMG).
- Assessment of unobtrusive sensors (cameras, LiDAR, radar, ultrasonic, depth sensors).
Main Results:
- Wearable sensors show potential for real-time fall prediction and detection.
- Unobtrusive sensors offer fall monitoring without user intrusion.
- Integration into healthcare settings emphasizes immediate fall event response.
Conclusions:
- Multifaceted approaches combining diverse sensor technologies are needed.
- Enhanced accuracy and response times are key to improving patient safety.
- Technological advancements in fall detection can significantly improve quality of life for older adults.
