| Sumario: | Emotion detection using electroencephalogram (EEG) signals offers a groundbreaking approach to analyzing brainwaves and identifying emotional states such as happiness, sadness, and anger. By noninvasively recording electrical brain activity, EEG enables real-time study of emotions with significant applications across healthcare, marketing, education, and human-computer interaction. In marketing, EEG-based tools help businesses analyze consumer reactions to create personalized strategies. In healthcare, this technology supports mental health diagnosis and tailored therapy by providing dynamic insights into patients' emotions. EEG systems also enhance human-computer interaction, enabling adaptive interfaces that respond to user' emotional states. Integrating EEG with virtual reality (VR) further expands its potential, creating immersive environments for gaming, therapy, and training that adjust dynamically to emotions. These advancements bridge neuroscience and technology, driving innovation in affective computing. The adaptability and real-time capabilities of EEG-based emotion detection systems underscore their transformative role in developing emotionally intelligent technologies. They offer continuous emotion monitoring, advancing our understanding of emotional dynamics and improving user experiences across domains. As this field progresses, EEG-based emotion recognition is poised to revolutionize interactions, fostering systems that meaningfully respond to human emotions.
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