Published Paper Details:

Traumatic Brain Injuries (TBIs), particularly mild traumatic brain injuries (mTBIs), represent a critical concern in contact sports, industrial applications, and military environments. Early detection and continuous real- time monitoring of head impacts are essential for reducing the risk of long-term neurological damage. This research focuses on designing, developing, and validating a compact wireless sensor system that captures both linear and angular head motion parameters with high precision. The system integrates the H3LIS331DL high-g triaxial accelerometer and the MPU6050 3-axis gyroscope with an ESP32 microcontroller to facilitate data acquisition and wireless transmission. Using the MQTT protocol over Wi-Fi, impact data are transmitted in real time to cloud-based platforms (ThingsBoard) and a local WebSocket dashboard, supporting both online and offline analysis. The system emphasizes low power consumption via event- driven data logging, which activates only when impacts exceed a configurable threshold. Extensive testing under controlled laboratory conditions, including pendulum-based impact validation and comparison with reference devices, demonstrated measurement accuracy within 5% error margins. Real-time visualization ensures intuitive user interaction and prompt medical or coaching interventions. This research provides a robust, energy-efficient, and low- cost solution suitable for wide-scale implementation in sports, industrial safety, and military applications, contributing significantly to injury prevention and impact biomechanics research.