Revolutionizing Communication: EEG-Based Brain-Computer Interface for Speech and Mood Detection

View Sample PDF

Author(s): Muhammad Usman Tariq (Abu Dhabi University, UAE & University College Cork, Ireland)
Copyright: 2025
Pages: 28
Source title: Rural Social Entrepreneurship Development: Network-Based Manufacturing System Model
Source Author(s)/Editor(s): Akhilesh Chandra Prabhakar (PNG University of Technology, Papua New Guinea), Poshan Yu (Soochow University, China)and Vasilii Erokhin (Harbin Engineering University, China)
DOI: 10.4018/979-8-3693-7515-0.ch008

Keywords: Business Science Reference / Entrepreneurship / Knowledge Management and Library Science / Manufacturing

Purchase

View Revolutionizing Communication: EEG-Based Brain-Computer Interface for Speech and Mood Detection on the publisher's website for pricing and purchasing information.

Abstract

This chapter examines the revolutionary potential of brain-computer interfaces (BCIs) based on electroencephalography (EEG) to improve emotional understanding and communication. In-depth descriptions of EEG technology and its use in speech decoding and brainwave analysis for mood detection are given in this chapter. It explores the core ideas of EEG-based BCIs such as signal processing and acquisition and emphasizes how they are transforming communication and emotion interpretation. Important processes for converting speech and mood data from EEG signals are covered along with methods for enhancing the precision and dependability of these systems. In addition, the chapter includes case studies and practical applications that highlight the usefulness of EEG-based BCIs in areas like monitoring emotional health and providing assistive technology to people with communication impairments.

The IRMA Community

Research IRM

Revolutionizing Communication: EEG-Based Brain-Computer Interface for Speech and Mood Detection

Purchase

Abstract

Related Content

IRMA Sponsors