Online Multi-level Contrastive Representation Distillation for Cross-Subject fNIRS Emotion Recognition

• URL: http://arxiv.org/abs/2409.16081v1
• Date: Tue, 24 Sep 2024 13:30:15 GMT
• Title: Online Multi-level Contrastive Representation Distillation for Cross-Subject fNIRS Emotion Recognition
• Authors: Zhili Lai, Chunmei Qing, Junpeng Tan, Wanxiang Luo, Xiangmin Xu,
• Abstract summary: We propose a novel cross-subject fNIRS emotion recognition method, called the Online Multi-level Contrastive Representation Distillation framework (OMCRD) OMCRD is a framework designed for mutual learning among multiple lightweight student networks. Some experimental results demonstrate that OMCRD achieves state-of-the-art results in emotional perception and affective imagery tasks.
• Score: 11.72499878247794
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: Utilizing functional near-infrared spectroscopy (fNIRS) signals for emotion recognition is a significant advancement in understanding human emotions. However, due to the lack of artificial intelligence data and algorithms in this field, current research faces the following challenges: 1) The portable wearable devices have higher requirements for lightweight models; 2) The objective differences of physiology and psychology among different subjects aggravate the difficulty of emotion recognition. To address these challenges, we propose a novel cross-subject fNIRS emotion recognition method, called the Online Multi-level Contrastive Representation Distillation framework (OMCRD). Specifically, OMCRD is a framework designed for mutual learning among multiple lightweight student networks. It utilizes multi-level fNIRS feature extractor for each sub-network and conducts multi-view sentimental mining using physiological signals. The proposed Inter-Subject Interaction Contrastive Representation (IS-ICR) facilitates knowledge transfer for interactions between student models, enhancing cross-subject emotion recognition performance. The optimal student network can be selected and deployed on a wearable device. Some experimental results demonstrate that OMCRD achieves state-of-the-art results in emotional perception and affective imagery tasks.

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