TSANN-TG: Temporal–Spatial Attention Neural Networks with Task-Specific Graph for EEG Emotion Recognition
Chao Jiang; Yingying Dai; Yunheng Ding; Xi Chen; Yingjie Li; Yingying Tang · 2024 · Brain Sciences
WASTE classifies this as Negative / Null Result Report · AI classification, approximate
The study found no significant effect — useful as a negative control or null benchmark for your own design.
Abstract
Electroencephalography (EEG)-based emotion recognition is increasingly pivotal in the realm of affective brain-computer interfaces. In this paper, we propose TSANN-TG (temporal-spatial attention neural network with a task-specific graph), a novel neural network architecture tailored for enhancing feature extraction and effectively integrating temporal-spatial features. TSANN-TG comprises three primary components: a node-feature-encoding-and-adjacency-matrices-construction block, a graph-aggregation block, and a graph-feature-fusion-and-classification block. Leveraging the distinct temporal sca
Abstract by Chao Jiang; Yingying Dai; Yunheng Ding; Xi Chen; Yingjie Li; Yingying Tang, Brain Sciences (2024) — licensed CC BY 4.0.
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Metadata source: OpenAlex · DOI 10.3390/brainsci14050516