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

dc.contributor.authorTariq, Muhammad Usman
dc.date.accessioned2025-07-03T12:43:45Z
dc.date.available2025-07-03T12:43:45Z
dc.date.issued2025
dc.description.abstractThis 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. Keywords: EEG-Based, Brain-Computer Interface, Speech and Mood Detection
dc.identifier.citationTariq, M. U. (2025). Revolutionizing Communication: EEG-Based Brain-Computer Interface for Speech and Mood Detection. In Rural Social Entrepreneurship Development: Network-Based Manufacturing System Model (pp. 237-264). IGI Global Scientific Publishing.
dc.identifier.doihttps://doi.org/10.4018/979-8-3693-7515-0.ch008
dc.identifier.urihttps://repository.adu.ac.ae/handle/1/7172
dc.language.isoen
dc.publisherIGI Global
dc.titleRevolutionizing Communication: EEG-Based Brain-Computer Interface for Speech and Mood Detection
dc.typeBook chapter

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