Telecommunications System & Management

Department of Mechanical Engineering, Michigan State University, East Lansing, USA, Michigan State University, USA

Publications

• Opinion   
  EEG Signal Emotion Recognition Model Using a Dual Attention Mechanism
  Author(s): Shogo Hao*
  
  Emotion recognition from EEG signals is an area of increasing interest due to its potential applications in healthcare, human-computer interaction, and mental health monitoring. Electroencephalography signals reflect the brain’s electrical activity and offer valuable insights into emotional states. Recognizing emotions from EEG signals, however, is a challenging task due to the complexity and variability of brain activity. Traditional emotion recognition techniques often struggle to capture the intricate patterns in EEG data that are associated with different emotional states. The development of more sophisticated models, such as those based on attention mechanisms, holds promise in improving the accuracy and robustness of emotion recognition systems. This report explores the application of a dual attention mechanism to enhance the performance of EEG signal emotion recognition m.. Read More»
  DOI: 10.37421/2167-0919.2024.13.471

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