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Real-Time Swimmer Wearable & Drowning Detection

2021✅ Completed
Photo Documentation Under Review

Project Overview

A research project at NYCU Taiwan. The wearable device tracks hand strokes and posture in water and transmits data via Bluetooth to a local receiver, which is fused with camera bounding boxes from a drone.

Key Results & Impact

  • Fused accelerometer and gyroscope data to detect drowning signatures.
  • Co-authored IEEE Sensors Journal publication (2022).
  • Achieved sub-5 second alert triggers on pool-side dashboard.

Technologies Used

ESP32C++IMU SensorsBluetoothUAV Integration

Additional Information

CategoryControl & Hardware Engineering
Year2021
StatusCompleted