Assistive Gesture Recognition System for Patients with Real-Time Notifications and Alerts via Raspberry Pi

Abstract: In recent years, Gesture recognition and health monitoring technologies enhance human-machine interaction and support proactive healthcare. This system uses a camera to capture hand gestures, processed through image segmentation and classified using machine learning for touchless control of devices. It also includes sensors to monitor heart rate, body temperature, SpO2, and movement. Data is sent via a microcontroller to a cloud or mobile app for real-time analysis. Alerts are triggered for abnormal readings to ensure quick response. The system is portable, energy-efficient, and works in various environments, making it ideal for smart homes, assistive applications, and remote health monitoring.