Artificial Intelligence and Multimodal Signal Processing in Human-Machine Interaction 1st Edition

Grab the future of intelligent interfaces with Artificial Intelligence and Multimodal Signal Processing in Human-Machine Interaction, 1st Edition by Abdulhamit Subasi, Saeed Mian Qaisar, and Humaira Nisar. This authoritative guide bridges cutting-edge AI methods and practical signal-processing techniques to build more natural, robust human–machine systems.

Explore how advanced algorithms transform speech, gesture, facial expressions, and physiological signals into meaningful interaction. Clear explanations and real-world examples demystify topics such as feature extraction, machine learning for multimodal fusion, deep-learning architectures, and evaluation metrics—making the book essential for both newcomers and experienced practitioners. Emphasis on interoperability and real-time processing equips readers to design systems for healthcare, assistive tech, robotics, and consumer devices.

Ideal for graduate students, researchers, engineers, and product teams across North America, Europe, and Asia seeking scalable solutions, this volume balances theoretical depth with applied strategies. You’ll gain practical insights on data preprocessing, noise-robust modeling, and best practices for deploying multimodal AI in diverse environments—helping you shorten development cycles and improve user experience.

Whether you’re developing conversational agents, emotion-aware interfaces, or next-generation sensors, this book is a go-to technical resource that advances your skillset and project outcomes. Ready to elevate your work in human–machine interaction? Order your copy today and join the global community shaping intelligent, multimodal systems.

Note: eBooks do not include supplementary materials such as CDs, access codes, etc.