CNNs achieve the best overall accuracy and efficiency for PPG-based affect recognition, with Transformers and Mamba showing no consistent advantage under identical evaluation conditions.
Introducing WeSAD, a multimodal dataset for wearable stress and affect detection
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PPG-Based Affect Recognition with Long-Range Deep Models: A Measurement-Driven Comparison of CNN, Transformer, and Mamba Architectures
CNNs achieve the best overall accuracy and efficiency for PPG-based affect recognition, with Transformers and Mamba showing no consistent advantage under identical evaluation conditions.