Attention-Based CNN Fusion Model for Emotion Recognition During Walking Using Discrete Wavelet Transform on EEG and Inertial Signals

• Published in: Big Data Mining and Analytics Vol. 7; no. 1; pp. 188 - 204
• Main Authors: Zhao, Yan, Guo, Ming, Chen, Xiangyong, Sun, Jianqiang, Qiu, Jianlong
• Format: Journal Article
• Language: English
• Published: Beijing Tsinghua University Press 01.03.2024
• Subjects: Algorithms; Artificial neural networks; attention mechanism; Decomposition; Discrete Wavelet Transform; Electroencephalography; Emotion recognition; Emotional factors; Emotions; Helmet mounted displays; Inertial sensing devices; Machine learning; multi-modal fusion; Performance enhancement; Virtual reality; walking; Wavelet transforms

Walking as a unique biometric tool conveys important information for emotion recognition. Individuals in different emotional states exhibit distinct walking patterns. For this purpose, this paper proposes a novel approach to recognizing emotion during walking using electroencephalogram (EEG) and ine...