PERSIST: A Multimodal Dataset for the Prediction of Perceived Exertion During Resistance Training

PERSIST is a novel dataset for predicting PERceived exertion during reSIStance Training. It includes multiple sensor modalities, including inertial measurement units (IMU), electrocardiography (ECG), and motion capture (MoCap). The MoCap data has been synchronized to the IMU and ECG data. Also, it provides heart rate variability (HRV) parameters obtained from the ECG signal. The dataset contains data from twelve young and healthy male participants with at least one year of resistance training experience. Subjects performed twelve sets of squats on a Flywheel platform with twelve repetitions per set. After each set, subjects reported their current RPE.