Abstract: Most existing emotion recognition studies rely on discrete stimulus paradigms under controlled laboratory conditions, failing to capture the inherently dynamic and transitional nature of ...
Researchers have developed a new way to recognize human emotions by combining fiber-based physiological signals with thermal ...
Abstract: This paper introduces a novel dynamic graph learning approach for frequency graphs, underpinned by a suite of baseline methodologies and the Multi-scale Controllable Graph Convolutional ...
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