Datasets

Dataset catalog for the static WHAR Arena paper snapshot.

Snapshot
Datasets
30

Filters

Subjects
0 - 51 range
Activities
0 - 34 range
Channels
0 - 140 range
Settings
All settings 5/5
Device Types
All device types 8/8
Sensor Modalities
All sensor modalities 13/13

30 Datasets

Name Settings Sensor Modalities
WEAR University of Siegen 2024 24 18 12
Fitness ⓘ
Smartwatch ⓘ
Accelerometer ⓘ
Hang-Time University of Siegen, University of Colorado Boulder 2023 24 6 3
Fitness ⓘ
Smartwatch ⓘ
Accelerometer ⓘ
GOTOV Leiden University Medical Center, Leiden University 2022 31 16 28
Activities of Daily Living ⓘ Locomotion ⓘ Fitness ⓘ Health ⓘ
Sensor Node ⓘ Vest ⓘ Mask ⓘ Belt ⓘ
Accelerometer ⓘ Electrocardiogram ⓘ Respiration Sensor ⓘ Gas Sensor ⓘ Airflow Sensor ⓘ
UCA-EHAR Universite Cote d'Azur 2022 20 12 7
Activities of Daily Living ⓘ Locomotion ⓘ Fitness ⓘ
Smart Glasses ⓘ
Accelerometer ⓘ Gyroscope ⓘ Barometer ⓘ
HAR70+ Norwegian University of Science and Technology 2021 18 7 6
Activities of Daily Living ⓘ Locomotion ⓘ Health ⓘ
Sensor Node ⓘ
Accelerometer ⓘ
HARTH Norwegian University of Science and Technology 2021 22 12 6
Activities of Daily Living ⓘ Locomotion ⓘ Fitness ⓘ
Sensor Node ⓘ
Accelerometer ⓘ
RealLifeHAR University of A Coruna 2020 17 4 15
Activities of Daily Living ⓘ Locomotion ⓘ
Smartphone ⓘ
Accelerometer ⓘ Gyroscope ⓘ Magnetometer ⓘ Global Positioning System ⓘ
w-HAR Arizona State University, Barrow Neurological Institute 2020 22 9 7
Activities of Daily Living ⓘ Locomotion ⓘ
Sensor Node ⓘ
Accelerometer ⓘ Gyroscope ⓘ Magnetometer ⓘ Stretch Sensor ⓘ
MotionSense Imperial College London, Queen Mary University of London 2019 24 6 18
Activities of Daily Living ⓘ Locomotion ⓘ
Smartphone ⓘ
Accelerometer ⓘ Gyroscope ⓘ
UP-Fall Universidad Panamericana 2019 17 11 42
Activities of Daily Living ⓘ Fall Detection ⓘ
Sensor Node ⓘ Helmet ⓘ
Accelerometer ⓘ Gyroscope ⓘ Light Sensor ⓘ Electroencephalogram ⓘ
WISDM-19 (Phone) Fordham University 2019 51 18 6
Activities of Daily Living ⓘ Locomotion ⓘ
Smartphone ⓘ
Accelerometer ⓘ Gyroscope ⓘ
WISDM-19 (Watch) Fordham University 2019 51 18 6
Activities of Daily Living ⓘ Locomotion ⓘ
Smartwatch ⓘ
Accelerometer ⓘ Gyroscope ⓘ
HuGaDB Eotvos Lorand University 2018 18 12 38
Activities of Daily Living ⓘ Locomotion ⓘ Fitness ⓘ
Sensor Node ⓘ
Accelerometer ⓘ Gyroscope ⓘ Electromyogram ⓘ
UMAFall University of Malaga 2017 19 15 39
Activities of Daily Living ⓘ Fall Detection ⓘ
Sensor Node ⓘ Smartphone ⓘ
Accelerometer ⓘ Gyroscope ⓘ Magnetometer ⓘ
UniMiB-SHAR University of Milano-Bicocca 2017 30 17 3
Activities of Daily Living ⓘ Fall Detection ⓘ
Smartphone ⓘ
Accelerometer ⓘ
HAPT University of Genova, Universitat Politecnica de Catalunya 2016 30 6 6
Activities of Daily Living ⓘ Locomotion ⓘ
Smartphone ⓘ
Accelerometer ⓘ Gyroscope ⓘ
RealWorld University of Mannheim 2016 15 8 81
Activities of Daily Living ⓘ Locomotion ⓘ Fitness ⓘ
Smartphone ⓘ Smartwatch ⓘ
Accelerometer ⓘ Gyroscope ⓘ Magnetometer ⓘ Global Positioning System ⓘ Light Sensor ⓘ
HHAR Aarhus University, Carnegie Mellon University 2015 9 6 6
Activities of Daily Living ⓘ Locomotion ⓘ Fitness ⓘ
Smartphone ⓘ Smartwatch ⓘ
Accelerometer ⓘ Gyroscope ⓘ
UTD-MHAD University of Texas at Dallas, Texas A&M University 2015 8 27 6
Activities of Daily Living ⓘ Locomotion ⓘ Fitness ⓘ
Sensor Node ⓘ
Accelerometer ⓘ Gyroscope ⓘ
ActRecTut (Gestures) Max Planck Institute for Informatics, ETH Zurich 2014 2 11 15
Activities of Daily Living ⓘ Fitness ⓘ
Sensor Node ⓘ
Accelerometer ⓘ Gyroscope ⓘ
MHEALTH University of Granada 2014 10 13 23
Activities of Daily Living ⓘ Locomotion ⓘ Fitness ⓘ Health ⓘ
Sensor Node ⓘ
Accelerometer ⓘ Gyroscope ⓘ Magnetometer ⓘ Electrocardiogram ⓘ
REALDISP University of Granada 2014 17 34 117
Activities of Daily Living ⓘ Locomotion ⓘ Fitness ⓘ
Sensor Node ⓘ
Accelerometer ⓘ Gyroscope ⓘ Magnetometer ⓘ
SAD University of Twente, Galatasaray University 2014 10 7 60
Activities of Daily Living ⓘ Locomotion ⓘ Fitness ⓘ
Smartphone ⓘ
Accelerometer ⓘ Gyroscope ⓘ Magnetometer ⓘ
UCI-HAR University of Genova, Universitat Politecnica de Catalunya 2013 30 6 9
Activities of Daily Living ⓘ Locomotion ⓘ
Smartphone ⓘ
Accelerometer ⓘ Gyroscope ⓘ
PAMAP2 DFKI, University of Kaiserslautern 2012 9 13 52
Activities of Daily Living ⓘ Locomotion ⓘ Fitness ⓘ
Sensor Node ⓘ
Accelerometer ⓘ Gyroscope ⓘ Magnetometer ⓘ Electrocardiogram ⓘ
USC-HAD University of Southern California 2012 14 12 6
Activities of Daily Living ⓘ Locomotion ⓘ Fitness ⓘ
Sensor Node ⓘ
Accelerometer ⓘ Gyroscope ⓘ
DSADS Bilkent University 2010 8 19 45
Activities of Daily Living ⓘ Locomotion ⓘ Fitness ⓘ
Sensor Node ⓘ
Accelerometer ⓘ Gyroscope ⓘ Magnetometer ⓘ
OPPO (Locomotion) ETH Zurich, DFKI, et al. 2010 4 18 133
Activities of Daily Living ⓘ Locomotion ⓘ
Sensor Node ⓘ
Accelerometer ⓘ Gyroscope ⓘ Magnetometer ⓘ
WISDM Fordham University 2010 36 6 3
Activities of Daily Living ⓘ Locomotion ⓘ
Smartphone ⓘ
Accelerometer ⓘ
Daphnet Mount Sinai School of Medicine, University of Sydney, Baylor College of Medicine 2009 10 3 9
Health ⓘ Locomotion ⓘ
Sensor Node ⓘ
Accelerometer ⓘ

Source. Dataset statistics are copied from Table 3 of the WHAR Arena paper. Abbreviations. ADL=Activities of Daily Living, Loc=Locomotion, Fit=Fitness, Fall=Fall Detection, Acc=Accelerometer, Gyr=Gyroscope, Mag=Magnetometer, ECG=Electrocardiogram, EEG=Electroencephalogram, EMG=Electromyogram, GPS=Global Positioning System, Stretch=Stretch Sensor, Baro=Barometer, Light=Light Sensor, Resp=Respiration Sensor, Gas=Gas Sensor, Flow=Airflow Sensor.

Citation

View arXiv 
@misc{burzer2026whararenabenchmarkingstate,
  title = {{WHAR Arena}: Benchmarking the State of the Art in Efficient Wearable Human Activity Recognition},
  author = {Maximilian Burzer and Tobias King and Till Riedel and Michael Beigl and Tobias R{"o}ddiger},
  year = {2026},
  eprint = {2606.13194},
  archivePrefix = {arXiv},
  primaryClass = {cs.LG},
  url = {https://arxiv.org/abs/2606.13194}
}

Acknowledgements

This work was partially funded by the IPAI Foundation gGmbH through the Science Residency Program and by the Helmholtz Association Initiative and Networking Fund through the HAICORE@KIT partition. Support was also provided by the HammerHAI project, an EU co-funded AI Factory initiative operated by the High-Performance Computing Center Stuttgart. This project has received funding from the European High Performance Computing Joint Undertaking (EuroHPC JU) under Grant Agreement No. 101234027. It is jointly co-funded by the EuroHPC JU through the European Union's Digital Europe Programme, the European Commission, the German Federal Ministry of Research, Technology and Space (BMFTR), the Baden-Württemberg Ministry of Science, Research and the Arts, the Bavarian State Ministry of Science and the Arts, and the Lower Saxony Ministry of Science and Culture. Views and opinions expressed are those of the author(s) only and do not necessarily reflect those of the European Union or the EuroHPC JU.

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