muschellij2 / accel_data

Downloading open source accelerometry data

accel_data

The goal of accel_data is to provide code to download and organize open source accelerometry data.

IU Walking Data

In code/R, there are files to analyze data from the IU walking study (https://physionet.org/content/accelerometry-walk-climb-drive/1.0.0/). The data were provided by Goldberger et al ¹. All functions should be prefixed by iu_*.

To cite this data please use the Physionet citation².

ZJU Walking Data

In code/R, there are files to analyze data from the ZJU Gait-Acc study. The data were provided by Zhang et al³. All functions should be prefixed by zju_*.

Known issues

The file located in session_1/subj_039/rec_5/5.txt seems to be corrupted. The code has a hard-coded section to remove that file from the main data.

References

Footnotes

1. Goldberger, A., Amaral, L., Glass, L., Hausdorff, J., Ivanov, P. C., Mark, R., … & Stanley, H. E. (2000). PhysioBank, PhysioToolkit, and PhysioNet: Components of a new research resource for complex physiologic signals. Circulation [Online]. 101 (23), pp. e215–e220. ↩

2. Karas, M., Urbanek, J., Crainiceanu, C., Harezlak, J., & Fadel, W. (2021). Labeled raw accelerometry data captured during walking, stair climbing and driving (version 1.0.0). PhysioNet. https://doi.org/10.13026/51h0-a262. ↩

3. Yuting Zhang, Gang Pan, Kui Jia, Minlong Lu, Yueming Wang, Zhaohui Wu, “Accelerometer-based Gait Recognition by Sparse Representation of Signature Points with Clusters”, IEEE Transactions on Cybernetics, vol. 45, no. 9, pp. 1864-1875, September 2015. ↩