HHAR: Heterogeneity Human Activity Recognition Dataset
Accelerometer and gyroscope data from nine users carrying eight phones and four watches at once: 33.7 million rows built to study device heterogeneity.
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Accelerometer and gyroscope data from nine users carrying eight phones and four watches at once: 33.7 million rows built to study device heterogeneity.
View Dataset396,602 rows and 33 columns of smartphone motion signals and labels; the publisher describes 20 participants with and without mobility disabilities.
View Dataset1,143,070 rows across 80 activity traces from 10 participants; each trace has 78 fields from five IMUs, a smartphone and activity/fatigue metadata.
View DatasetFive participants, eight physical-therapy exercises and three execution styles; 275,603 synchronized time points across five wearable sensor units.
View Dataset6,461,328 annotated samples from 22 free-living participants wearing two accelerometers; CSVs contain eight core fields, with extra index columns in three files.
View DatasetReal-time posture monitoring dataset from the MPU6050 6-axis sensor (3D gyroscope + 3D accelerometer) attached to the upper body, streaming wirelessly via Phyphox. Angular orientation values: Angle_X, Angle_Y, Angle_Z. Mendeley Data, March 2025 — DOI: 10.17632/ftn4rjnd6x.1. Used for LSTM-based posture classification and ergonomics.
View DatasetiPhone 6s accelerometer and gyroscope dataset from 24 subjects performing 6 activities (walking, jogging, stairs up/down, sitting, standing) at 50 Hz. CSV. Kaggle and GitHub. Used for human activity recognition (HAR) and mobile sensor privacy research. Imperial College London, 2018.
View DatasetLarge-scale PPG-based heart rate dataset from 15 subjects wearing wrist (Empatica E4: PPG + 3-axis ACC) and chest (RespiBAN: ECG + respiration + 3-axis ACC) devices during 8 real-life activities. ECG provides HR ground truth. UCI ML Repository. Published in MDPI Sensors 2019 — DOI: 10.3390/s19143079.
View DatasetMulti-site IMU dataset (chest, hands, knees) with heart rate and SpO2 recorded at 0.5 Hz during structured daily activities and a 3-minute step test. Raw + preprocessed IMU (accelerometer, gyroscope, quaternions) + demographic metadata. Zenodo, July 2025. Used for cardiorespiratory fitness (CRF) estimation and HAR.
View DatasetNovel multimodal HAR dataset for basketball training with synchronized IMU (accelerometer, gyroscope, angle, magnetic field at 200 Hz, MPU9250/WT901) + heart rate and skin surface temperature (1 Hz, Si1141 wrist sensor) across 14 activity classes. ArXiv 2025. Used for sports performance analysis and LLM-based coaching reports.
View DatasetBenchmark bearing vibration dataset from Case Western Reserve University with drive-end and fan-end faults at 4 severity levels. Sampled at 12 kHz and 48 kHz. MATLAB MAT and CSV formats. Used for fault diagnosis and vibration-based condition monitoring.
View DatasetWearable IoT dataset with 18 physical activities from 9 subjects wearing 3 IMUs and a heart rate monitor. 54 columns including temperature, acceleration, and gyroscope data. CSV format. Used for HAR, activity classification, and intensity estimation.
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