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

<p>PERSIST is&nbsp;a novel dataset for&nbsp;predicting PERceived exertion during reSIStance Training. It includes multiple sensor&nbsp;modalities, including inertial measurement units (IMU), electrocardiography (ECG), and motion&nbsp;capture (MoCap). The MoCap data has been synchronized to the IMU and ECG data. Also, it provides&nbsp;heart rate variability (HRV) parameters obtained from the ECG signal. The dataset contains&nbsp;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&nbsp;per set. After each set, subjects reported their current RPE.</p>