Multimodal Coupling
Cross-source consensus on Multimodal Coupling from 1 sources and 4 claims.
1 sources · 4 claims
How it works
Preparation
Comparisons
Evidence quality
Highlighted claims
- Simple voice-gaze coupling showed only modest standalone signal and did not improve entropy prediction. — Entropy-Dominated Temporal Vocal Dynamics as Digital Biomarkers for Depression Detection
- The preliminary multimodal analysis aligned gaze trajectories with participant utterances. — Entropy-Dominated Temporal Vocal Dynamics as Digital Biomarkers for Depression Detection
- Speech-gaze coupling was represented with simple correlations between speech trajectories and gaze-derived features. — Entropy-Dominated Temporal Vocal Dynamics as Digital Biomarkers for Depression Detection
- The study does not rule out broader multimodal value because only simple correlation-based coupling features were tested. — Entropy-Dominated Temporal Vocal Dynamics as Digital Biomarkers for Depression Detection