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Updated: Oct 6, 2025

Design and Analysis for Fall Detection System Simplification
Published on: April 6, 2020
Pathway of Trends and Technologies in Fall Detection: A Systematic Review
Rohit Tanwar1, Neha Nandal2, Mazdak Zamani3
1School of Computer Science, University of Petroleum & Energy Studies, Dehradun 248007, India.
Accurate fall prediction and detection are crucial for preventing injuries in the elderly. This review categorizes global research on fall prediction, detection, and prevention methods to reduce health risks and costs.
Area of Science:
- Gerontology
- Biomedical Engineering
- Public Health
Background:
- Falls pose a significant global health risk for the elderly, leading to substantial medical expenses and emergency service utilization.
- Timely fall prediction, detection, and prevention are essential to mitigate the severe consequences of falls in older adults.
Purpose of the Study:
- To systematically review and categorize worldwide publications, projects, and patents related to fall prediction, detection, and prevention in the elderly.
- To provide a comprehensive overview of existing methodologies, their classifications, and reported achievements in the field of fall prevention.
Main Methods:
- Systematic literature review of global research, projects, and patents.
- Categorization of reviewed works based on methodology, type of approach, and outcomes.
- Analysis of achievements in fall prediction, detection, and prevention.
Main Results:
- Identified and categorized a wide range of methods for fall prediction, detection, and prevention.
- Assessed the diverse approaches and technologies employed in fall risk management.
- Documented the achievements and advancements in the field.
Conclusions:
- A comprehensive understanding of current fall prevention strategies is vital.
- Further research and development in accurate and timely fall prediction and detection are needed.
- Effective fall prevention can significantly reduce healthcare costs and improve elderly well-being.
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