WHAR Datasets

This library provides data handling support for popular WHAR (Wearable Human Activity Recognition) datasets including

• downloading from original source
• parsing into a standardized data format
• configuration-driven preprocessing, splitting, normalization, and more
• integration with pytorch and tensorflow

How to Install

pip install "git+https://github.com/teco-kit/whar-datasets.git"

This installs the library into the active environment.

How To Use With PyTorch

from whar_datasets import (
    Loader,
    LOSOSplitter,
    PostProcessingPipeline,
    PreProcessingPipeline,
    TorchAdapter,
    WHARDatasetID,
    get_dataset_cfg,
)

# create cfg for WISDM dataset
cfg = get_dataset_cfg(WHARDatasetID.WISDM)

# create and run pre-processing pipeline
pre_pipeline = PreProcessingPipeline(cfg)
activity_df, session_df, window_df = pre_pipeline.run()

# create LOSO splits
splitter = LOSOSplitter(cfg)
splits = splitter.get_splits(session_df, window_df)
split = splits[0]

# create and run post-processing pipeline for the specific split
post_pipeline = PostProcessingPipeline(cfg, pre_pipeline, window_df, split.train_indices)
samples = post_pipeline.run()

# create dataloaders for the specific split
loader = Loader(session_df, window_df, post_pipeline.samples_dir, samples)
adapter = TorchAdapter(cfg, loader, split)
dataloaders = adapter.get_dataloaders(batch_size=64)

Not yet natively supported WHAR datasets can be integrated via a custom configuration (with parser).

Currently Supported Datasets

Supported	Name	Year	Paper	Citations
✅	WISDM	2010	Activity Recognition using Cell Phone Accelerometers	3862
✅	UCI-HAR	2013	A Public Domain Dataset for Human Activity Recognition using Smartphones	3372
✅	PAMAP2	2012	Introducing a New Benchmarked Dataset for Activity Monitoring	1758
✅	OPPORTUNITY	2010	Collecting complex activity datasets in highly rich networked sensor environments	1024
⬜	HHAR	2015	Smart Devices are Different: Assessing and Mitigating Mobile Sensing Heterogeneities for Activity Recognition	1019
⬜	UTD-MHAD	2015	UTD-MHAD: A Multimodal Dataset for Human Action Recognition Utilizing a Depth Camera and a Wearable Inertial Sensor	997
✅	MHEALTH	2014	mHealthDroid: A Novel Framework for Agile Development of Mobile Health Applications	887
✅	DSADS	2010	Comparative study on classifying human activities with miniature inertial and magnetic sensors	780
⬜	USC-HAD	2012	USC-HAD: A Daily Activity Dataset for Ubiquitous Activity Recognition Using Wearable Sensors	753
⬜	SAD	2014	Fusion of Smartphone Motion Sensors for Physical Activity Recognition	752
⬜	UniMiB-SHAR	2017	Unimib shar: a dataset for human activity recognition using acceleration data from smartphones	712
✅	Daphnet	2009	Ambulatory monitoring of freezing of gait in Parkinson’s disease	652
⬜	RealWorld	2016	On-body Localization of Wearable Devices: An Investigation of Position-Aware Activity Recognition	482
⬜	ExtraSensory	2016	Recognizing Detailed Human Context In-the-Wild from Smartphones and Smartwatches	402
⬜	MobiAct	2016	The MobiAct dataset: recognition of activities of daily living using smartphones	364
✅	MotionSense	2019	Mobile Sensor Data Anonymization	345
⬜	PARDUSS	2013	Towards physical activity recognition using smartphone sensors	345
⬜	SWELL-KW	2014	The SWELL Knowledge Work Dataset for Stress and User Modeling Research	339
⬜	SHL	2018	The University of Sussex-Huawei Locomotion and Transportation Dataset for Multimodal Analytics with Mobile Devices	317
⬜	DA	2012	Recognizing Human Activities User-independently on Smartphones Based on Accelerometer Data	302
⬜	UMAFall	2017	Umafall: A multisensor dataset for the research on automatic fall detection	243
⬜	REALDISP	2014	Dealing with the Effects of Sensor Displacement in Wearable Activity Recognition	216
⬜	RealLifeHAR	2020	A Public Domain Dataset for Real-Life Human Activity Recognition Using Smartphone Sensors	208
⬜	WISDM-19	2019	WISDM: Smartphone and Smartwatch Activity and Biometrics Dataset	198
✅	KU-HAR	2021	KU-HAR: An open dataset for heterogeneous human activity recognition	187
⬜	HASC-Challenge	2011	Hasc challenge: gathering large scale human activity corpus for the real-world activity understandings	157
⬜	HuGaDB	2018	HuGaDB: Human Gait Database for Activity Recognition from Wearable Inertial Sensor Networks	154
⬜	HARTH	2021	HARTH: A Human Activity Recognition Dataset for Machine Learning	132
⬜	MobiFall	2014	The MobiFall Dataset: Fall Detection and Classification with a Smartphone	128
⬜	FallAllD	2020	FallAllD: An Open Dataset of Human Falls and Activities of Daily Living for Classical and Deep Learning Applications	115
⬜	w-HAR	2020	w-HAR: An Activity Recognition Dataset and Framework Using Low-Power Wearable Devices	98
⬜	HAR70+	2021	A machine learning classifier for detection of physical activity types and postures during free-living	55
⬜	TNDA-HAR	2022	Deep transfer learning with graph neural network for sensor-based human activity recognition	48
⬜	CAPTURE-24	2024	CAPTURE-24: A large dataset of wrist-worn activity tracker data collected in the wild for human activity recognition	45
⬜	PAR	2021	Context-aware support for cardiac health monitoring using federated machine learning	12
⬜	iSPL	2022	An Investigation on Deep Learning-Based Activity Recognition Using IMUs and Stretch Sensors	11
⬜	CHARM	2021	A recommendation specific human activity recognition dataset with mobile device's sensor data	5
✅	HARSense	2021	-	-
⬜	AReM	2016	-	-

Citation

If you use the WHAR Datasets library in your research, please cite our paper:

@inproceedings{burzer2025whar,
  title={WHAR Datasets: An Open Source Library for Wearable Human Activity Recognition},
  author={Burzer, Maximilian and King, Tobias and Riedel, Till and Beigl, Michael and R{\"o}ddiger, Tobias},
  booktitle={Companion of the 2025 ACM International Joint Conference on Pervasive and Ubiquitous Computing},
  pages={1315--1322},
  year={2025}
}