Published Paper Details:

The primary purpose of this ground-breaking study is to introduce a cutting-edge facial recognition device that will push the limits of existing technology firms in the healthcare industry. The healthcare terrain is constantly transforming with the introduction of new technologies that are continuously revolutionizing the patient-focused care approach [1]. Among all these technologies, facial emotion recognition is emerging as a game-changer for meeting patients' emotional needs. My AI-driven device stands out as a remarkable innovation within this sphere, applying the latest technological innovations in computer vision and AI to transform the healthcare industry. This device aims to achieve the highest possible speed and accuracy in facial recognition tasks by incorporating advanced internal components such as a Quantum Facial Recognition Processor (QFRP) and Neural Network Accelerator (NNA). Furthermore, adding new functionalities, such as the Holographic Facial Landmark Detector and Bio-Inspired Facial Feature Extractor, will pave the way for a more thorough and accurate analysis of facial features. It utilizes sophisticated algorithms and biometric authentication to give unmatched precision and dependability in decoding facial expressions and micro-expressions [2]. It makes it possible for healthcare professionals to catch some subtle reactions of patients in their facial expressions and, therefore, identify many emotions (happiness, sadness, anger, fear, etc.) Besides, the device can detect subtle nuances of patients' facial expressions. In addition, my device can be an invaluable aid in pain assessment and management, mental health evaluation, and continued emotional monitoring in healthcare settings. The device enables healthcare workers to make practical inferences about patients' emotional states and well-being, which creates a platform for empathetic, personal, and proactive ways of care in hospitals.