Bayesian deep learning model classifies emotional valence from unimodal PPG heartbeat data collected by consumer fitness tracker with peak F1 of 0.7 on new dataset.
Recognising realistic emotions and affect in speech: State of the art and lessons learnt from the first challenge
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End-To-End Prediction of Emotion From Heartbeat Data Collected by a Consumer Fitness Tracker
Bayesian deep learning model classifies emotional valence from unimodal PPG heartbeat data collected by consumer fitness tracker with peak F1 of 0.7 on new dataset.