@inbook{97c92c4f358d47cb8499f5fd69b8c7e2,
title = "Chapter 2 - Artificial intelligence techniques for human-machine interaction",
abstract = "This chapter provides a broad overview of various artificial intelligence (AI) techniques employed in human-machine interaction (HMI). It explores a multitude of HMI techniques, each with its unique application area and AI approaches considered for its implementation. This chapter also delves into multimodal interaction and multimodal signal processing, integral parts of HMI. The techniques discussed range in their applications from personal experiences with machines to industrial use cases. Each technique's application area is examined, highlighting how AI enhances efficiency and effectiveness in these areas. Furthermore, the article delves into the AI-specific contemporary approaches used in HMI, such as neural networks and deep learning. This exploration provides an understanding of the integral role AI plays in advancing HMI, paving the way for future research and development in this dynamic field.",
keywords = "Human-machine interaction, Artificial intelligence, Robots, Cobots, Industry 5.0, Speech, Emotion, Facial expression, Recognition, Generative AI",
author = "Hamid Mukhtar",
note = "Copyright: {\textcopyright} 2025 Elsevier Inc. All rights are reserved, including those for text and data mining, AI training, and similar technologies.",
year = "2024",
month = sep,
day = "18",
doi = "10.1016/B978-0-443-29150-0.00010-X",
language = "English",
isbn = "9780443291500",
series = "Artificial Intelligence Applications in Healthcare and Medicine",
publisher = "Academic Press (Elsevier)",
pages = "19--42",
editor = "Abdulhamit Subasi and Qaisar, \{Saeed Mian\} and Humaira Nisar",
booktitle = "Artificial Intelligence and Multimodal Signal Processing in Human-Machine Interaction",
edition = "1st",
}