GSM-Based Smart Glove for Gesture Recognition and Health Monitoring in Paralysis Patients

Paralysis severely impairs communication and mobility, necessitating effective assistive technologies to support patient care. GSM-based smart glove system that integrates gesture recognition, real-time health monitoring, and fall detection into a wearable solution for disabled person. The system employs flex sensors to capture finger movements, a gyroscope (MPU6050) to detect falls, and the MAX30100 sensor for heart rate monitoring. Sensor data is continuously processed by an Arduino- based microcontroller, which maps specific gesture patterns to predefined commands and initiates voice and SMS alerts via a GSM module (SIM800L). This implementation demonstrates a low-cost, modular, and testable solution that enhances patient communication, safety, and remote health monitoring using wireless communication.