A Transformer model predicts personalized post-intervention trajectories and direction of change for heart rate and variability from wearable sensor data, showing feasibility as a proof of concept.
Driver stress detection using ultra-short-term hrv analysis under real world driving conditions.Entropy, 25(2):194
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.AI 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Personalized and Context-Aware Transformer Models for Predicting Post-Intervention Physiological Responses from Wearable Sensor Data
A Transformer model predicts personalized post-intervention trajectories and direction of change for heart rate and variability from wearable sensor data, showing feasibility as a proof of concept.