Chapter 2 - Artificial intelligence techniques for human-machine interaction

Research output: Chapter in Book/Report/Conference proceedingChapter

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.
Original languageEnglish
Title of host publicationArtificial Intelligence and Multimodal Signal Processing in Human-Machine Interaction
EditorsAbdulhamit Subasi, Saeed Mian Qaisar, Humaira Nisar
PublisherAcademic Press (Elsevier)
Chapter2
Pages19-42
Number of pages24
Edition1st
ISBN (Electronic)9780443291517
ISBN (Print)9780443291500
DOIs
Publication statusPublished - 18 Sept 2024

Publication series

NameArtificial Intelligence Applications in Healthcare and Medicine
PublisherAcademic Press

Bibliographical note

Copyright: © 2025 Elsevier Inc. All rights are reserved, including those for text and data mining, AI training, and similar technologies.

Keywords

  • Human-machine interaction
  • Artificial intelligence
  • Robots
  • Cobots
  • Industry 5.0
  • Speech
  • Emotion
  • Facial expression
  • Recognition
  • Generative AI

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