harAGE Corpus
Description
The harAGE corpus is a novel dataset for Human Activity Recognition (HAR) collected with a customised app running on a Garmin Vivoactive 3 smartwatch. This dataset contains 17 h 37 m 20 s of data from 30 participants (14 f, 16 m), with a mean age of 40.0 (± 8.3) years old. The available data is split in 3 (train/devel/test) participant-independent and gender-balanced partitions, and contains samples of the 30 participants performing 8 different activities (lying, sitting, standing, washing hands, walking, running, stairs climbing, and cycling).
A detailed documentation of this dataset can be found in [1].
If you use the harAGE Corpus in your research work, you are kindly asked to cite [1] and [2] in your publications.
[1] A. Mallol-Ragolta, A. Semertzidou, M. Pateraki, and B. Schuller, “harAGE: A Novel Multimodal Smartwatch-based Dataset for Human Activity Recognition,” in Proceedings of the 16th International Conference on Automatic Face and Gesture Recognition, (Jodhpur, India – Virtual Event), IEEE, 2021.
[2] B. Schuller, A Batliner, S. Amiriparian, C. Bergler, M. Gerczuk, N. Holz, P. Larrouy-Maestri, S. Bayerl, K. Riedhammer, A. Mallol-Ragolta, M. Pateraki, H. Coppock, I. Kiskin, M. Sinka, S. Roberts, "The ACM Multimedia 2022 Computational Paralinguistics Challenge: Vocalisations, Stuttering, Activity, & Mosquitos," in Proceedings of 30th International Conference on Multimedia, (Lisbon, Portugal), ACM, 2022.
Files
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The record is publicly accessible, but files are restricted to users with access.
Request access
If you would like to request access to these files, please fill out the form below.
You need to satisfy these conditions in order for this request to be accepted:
The user who will make use of the harAGE Corpus may only use the database after the End User License Agreement (EULA) has been signed and returned to the authors. By signing the EULA, the user agrees to the specific terms of use considered by the authors. The EULA must be signed by a person with a permanent position at an academic institute. The user may not use the database for any non-academic purposes. The user may not distribute the database in any way. All research papers, presentations, or documents that report the use of the harAGE Corpus should cite [1] and [2].
[1] A. Mallol-Ragolta, A. Semertzidou, M. Pateraki, and B. Schuller, “harAGE: A Novel Multimodal Smartwatch-based Dataset for Human Activity Recognition,” in Proceedings of the 16th International Conference on Automatic Face and Gesture Recognition, (Jodhpur, India – Virtual Event), IEEE, 2021.
[2] B. Schuller, A Batliner, S. Amiriparian, C. Bergler, M. Gerczuk, N. Holz, P. Larrouy-Maestri, S. Bayerl, K. Riedhammer, A. Mallol-Ragolta, M. Pateraki, H. Coppock, I. Kiskin, M. Sinka, S. Roberts, "The ACM Multimedia 2022 Computational Paralinguistics Challenge: Vocalisations, Stuttering, Activity, & Mosquitos," in Proceedings of 30th International Conference on Multimedia, (Lisbon, Portugal), ACM, 2022.
To get access, please contact Adria Mallol-Ragolta at:
adria.mallol-ragolta [at] informatik.uni-augsburg.de
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