Generative AI Innovations in Human Gait Analysis

ISBN-13: 9781036464073 / Twarda / 2025

C Kishor Kumar Reddy;K. Selvakumar;Srinath Doss

Opis

This book is a groundbreaking exploration of how artificial intelligence is redefining one of the most fundamental aspects of human movement gait. Unlike traditional analyses, this book introduces cutting-edge generative AI models like GANs and VAEs, demonstrating their potential to revolutionize gait research, diagnostics, and personalized healthcare. By bridging biomechanics and AI, this book offers a unique perspective on the next generation of healthcare solutions, catering to academics, healthcare professionals, engineers, and technology enthusiasts eager to embrace the future. The book employs a multidisciplinary approach, combining insights from biomechanics, AI, and healthcare innovation. It delves into methodologies such as Generative Adversarial Networks (GANs) and Variational Autoencoders (VAEs) to create synthetic gait datasets, enhance gait simulations, and identify abnormal gait patterns. While emphasizing the potential of generative AI, the book also addresses limitations, including data bias, model interpretability, and ethical considerations.