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Smart Textile Impact Sensor for e-Helmet to Measure Head Injury
Manob Jyoti Saikia1, Arar Salim Alkhader2
1Department of Electrical Engineering, University of North Florida, Jacksonville, FL 32224, USA.
Sensors (Basel, Switzerland)
|May 11, 2024
Summary
This study developed a smart textile impact sensor (STIS) for measuring head impacts in sports. The STIS shows potential for concussion prevention in e-helmets, though further research is needed for high-impact ranges.
Area of Science:
- Biomedical Engineering
- Materials Science
- Sports Technology
Background:
- Concussions from mild traumatic brain injuries (mTBI) are a significant public health issue, particularly in sports like American football.
- Current methods for measuring head impacts in sports are limited, especially regarding smart-textile-based sensors.
- There is a need for effective, integrated sensors to monitor head impacts and aid in concussion prevention.
Purpose of the Study:
- To develop and construct a novel smart textile impact sensor (STIS) for measuring head impact forces.
- To validate the functionality and performance of the STIS under various high-magnitude impact conditions.
- To explore the potential of STIS in the development of advanced protective gear, such as e-helmets.
Main Methods:
- Designed a 2x2 STIS matrix utilizing a semiconducting polymer composite (SPC) sensing surface, with modifications to SPC dimensions for enhanced performance.
- Integrated the STIS with a microcontroller and biasing circuit for data acquisition.
- Constructed a pendulum test setup to apply controlled impact forces (180-722 N) and evaluated sensor response using high-speed cameras and motion analysis software.
Main Results:
- The STIS demonstrated satisfactory performance within a specific impact force range, with improved behavior noted through adjustments in SPC thickness.
- Data analysis identified threshold impact forces within the sensor's linear range and assessed sensitivity via linear regression.
- While the sensor did not provide accurate linear responses for impacts exceeding its threshold, it effectively indicated impact distribution across the sensor area.
Conclusions:
- The developed STIS shows promise for integration into e-helmets to monitor head impacts, potentially aiding in concussion detection and prevention.
- Optimizing sensor structure and material properties is crucial for enhancing range, linearity, and performance in high-impact scenarios.
- Further research is encouraged to refine the STIS for accurate measurement across the full spectrum of concussion-causing impact forces.

