A Precise Hip Protection System with Multi-scale Fall Warning Algorithm Based on Offset Displacement.

Area of Science:

• Gerontology
• Biomedical Engineering
• Rehabilitation Science

Background:

• Falls are a major cause of irreversible injury, necessitating effective warning and protection systems.
• Existing fall warning algorithms suffer from low recognition rates and insufficient lead-time, hindering protective device efficacy.

Purpose of the Study:

• To develop and validate a multi-scale falls warning algorithm based on offset displacement.
• To design and evaluate a hip protection system integrated with the advanced fall warning algorithm.

Main Methods:

• A novel multi-scale falls warning algorithm utilizing offset displacement was developed.
• A hip protection system was designed and integrated with the algorithm.
• The system's performance was validated through 150 falling and 500 fall-risk actions from 10 volunteers.

Main Results:

• The algorithm achieved 98.7% recognition accuracy for falling actions and 99.4% for fall-risk actions.
• An average lead-time of 402ms was achieved, enabling effective intervention.
• The hip protection system demonstrated a 98.7% protection rate for falling movements.

Conclusions:

• The developed algorithm and hip protection system offer high accuracy and lead-time for fall detection and prevention.
• This technology holds significant potential for application in elderly care, hospitals, and homes.
• The findings provide valuable technical support for fall prevention and the development of related medical devices.