State-specific respiratory signatures for affective and stress recognition: Interpretable respiratory markers, autocorrelation lags, and compact CNN models

arXiv:2606.26723 · eess.SP, cs.LG, q-bio.QM · Submitted 2026-06-25 · Read on arXiv

eess.SP, cs.LG, q-bio.QM

Submitted: 2026-06-25

Updated: 2026-09-11

Comments: 53 pages, 7 figures, 17 tables. Final author archival version of the published article

Journal ref: Biomedical Signal Processing and Control, Volume 129, Part A, 1 January 2027, Article 111373

DOI: 10.1016/j.bspc.2026.111373

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Core — 42× in this paper · explained in 2 episodes
• Accuracy — 16× in this paper · explained in 1 episode
• Aggregation — 12× in this paper · explained in 1 episode
• Multimodal Fusion — 4× in this paper · explained in 3 episodes
• Affective Computing — 3× in this paper · explained in 1 episode
• Interpretability — 3× in this paper · explained in 15 episodes
• Benchmark — 2× in this paper · explained in 2 episodes
• Consistency — 2× in this paper · explained in 3 episodes
• Edge Devices — 2× in this paper · explained in 2 episodes
• Feature Extraction — 2× in this paper · explained in 2 episodes
• Generalization — 2× in this paper · explained in 13 episodes
• Personalization — 2× in this paper · explained in 2 episodes
• Adaptation — 1× in this paper · explained in 1 episode
• Alignment — 1× in this paper · explained in 1 episode
• Alternation — 1× in this paper · explained in 1 episode
• Cognitive Load — 1× in this paper · explained in 2 episodes
• Multimodal Dataset — 1× in this paper · explained in 2 episodes
• Quantization — 1× in this paper · explained in 12 episodes
• Robustness — 1× in this paper · explained in 5 episodes
• Transformer — 1× in this paper · explained in 2 episodes

Sources

• FEG-Pro: Forecast-Error Growth Profiling for Finite-Horizon Instability Analysis of Nonlinear Time Series

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