Real-Time Hand and Face Gesture Recognition for Emergency Response

This paper presents an innovative system for emergency hand recognition, integrated with facial recognition technology, to provide rapid access to an individual’s medical history during critical situations. The proposed solution leverages advanced biometric analysis to identify individuals via hand and facial features, ensuring quick and reliable recognition. Upon identification, the system retrieves and displays the person’s medical records, aiding emergency responders in delivering precise and timely care. This dual-modality approach enhances accuracy, reduces response time, and demonstrates significant potential in improving emergency healthcare outcomes. The system’s design, implementation, and real-world applications are explored, emphasizing its utility in healthcare emergencies.