DreamSense: A Multi-Task EEG-based Framework for Predicting Dream Occurrence, Polarity, and Nightmare Severity
International Conference Intelligent Data Communication Technologies and Internet Things June 10, 2026 Ensteih Silvia, K. Dutta, P Anupama V et al.
Sleep disorders and nightmare disturbances challenge clinical assessment due to subjective self-reporting and lack of quantitative precision. This work presents DreamSense, a multi-task deep learning framework using electroencephalography (EEG) biomarkers that classify dream states on three independent tasks: occurrence detection, emotional sentiment, and nightmare intensity. Via systematic...