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.
Idc forecasts sustained double-digit growth for wearable devices led by steady adoption of smartwatches
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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.