An AI-powered assistive walking stick designed for predictive safety and non-intrusive health monitoring. Built using the Arduino Uno Q, Arduino Modulino, and MAX30102 Sensor.
The Smart Stick project aims to enhance the safety and health monitoring of users through:
- Predictive Safety: Real-time motion analysis using IMU data and AI models to detect patterns like waving, snake movements, or falls.
- Invisible Health: Continuous PPG (Photoplethysmogram) monitoring to track heart rate (BPM) and heart rate variability (HRV) metrics.
firmware/: Arduino C++ code for sensor data collection and Bridge communication.gateway/: Python code running on the Arduino's OpenMV core for motion classification and data forwarding.server/: Remote Flask server for historical data logging and advanced HeartPy signal analysis.docs/: Original guide documents and PDF specifications.
- Arduino Uno Q
- Modulino Movement (IMU)
- MAX30105 Pulse Oximeter Sensor
- Standard 5V/9V Power Supply or Battery
This project is licensed under the MIT License - see the LICENSE file for details.