Wearable Fall Detector using Integrated Sensors and Energy Devices

Area of Science:

• Materials Science
• Electrical Engineering
• Biomedical Engineering

Background:

• Wearable electronics require thin, deformable energy devices for comfort and portability.
• Conventional energy sources are bulky and rigid, limiting wearable applications.
• Long-term energy supply is crucial for continuous monitoring in wearable systems.

Purpose of the Study:

• To develop a wearable fall detection system with a self-powered energy source.
• To integrate sensors, controllers, and wireless units into a comfortable wristband design.
• To demonstrate a sustainable energy harvesting mechanism for continuous operation.

Main Methods:

• Fabrication of a wristband-type triboelectric generator using stretchable conductive nylon electrodes.
• Modification of electrode work function with ethoxylated polyethylenimine for enhanced performance.
• Integration of the generator with a lithium-ion battery, 3-axis accelerometer, and wireless communication modules.
• Development of custom software for fall signal discrimination and alert transmission.

Main Results:

• The triboelectric generator effectively harvests energy from human body motions.
• The harvested energy continuously recharges the integrated stretchable battery, prolonging device usage.
• The system successfully monitors human body motion and wirelessly transmits data.
• Fall detection and emergency alert transmission to an external mobile device were demonstrated.

Conclusions:

• The developed wearable fall detection system offers a sustainable and integrated energy solution.
• This technology has the potential to advance mobile electronics and wearable healthcare.
• The system provides a reliable method for monitoring and alerting in case of falls.