Transforming Human Physiology Into Personalized Ai: An Analysis Of Neuromuscular Devices

Abstract

This research paper introduces a pioneering model for capturing and reproducing human emotions and behavior in human-like robots, leveraging the power of neurotransmitter data and Reinforcement Learning, a machine learning technique. By integrating this approach into AI systems, human-robot interactions can be elevated to a more genuine and empathetic level. Recent breakthroughs in artificial intelligence (AI) and neuromuscular devices have paved the way for personalized healthcare solutions. This study explores the integration of AI technology with neuromuscular devices to enhance human physiology through personalized therapeutic approaches. By synergizing neurophysiology, biomechanics, and AI algorithms, this research delves into the transformative potential of neuromuscular devices in revolutionizing healthcare practices, ultimately leading to improved patient outcomes and an enhanced quality of life.