Exercise Recognition from Wearable Sensors dataset

Overview

This data set contains accelerometer and gyroscope recordings from over 200 participants performing various gym exercises.

This data set is described in more detail in the associated manuscript: Morris, D., Saponas, T. S., Guillory, A., & Kelner, I. (2014, April). RecoFit: using a wearable sensor to find, recognize, and count repetitive exercises. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (pp. 3225-3234). ACM.

https://www.microsoft.com/en-us/research/publication/recofit-using-wearable-sensor-find-recognize-count-repetitive-exercises/

Project URL: http://research.microsoft.com/cue/workout

Please see the readme.html document for a description of load_exercise_data.m, a Matlab script that walks you through the format of the data.

Note, this data was previously hosted at Microsoft Research Open Data - Exercise Recognition from Wearable Sensors. This GitHub repo is the new hosting site for this dataset.

Contact ssaponas@microsoft.com if you have questions about this data set.

Terms of Use:

Please see the LICENSE file for more details.

If you choose to use the data, please cite the paper as

Morris, D., Saponas, T. S., Guillory, A., & Kelner, I. (2014, April). RecoFit: using a wearable sensor to find, recognize, and count repetitive exercises. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (pp. 3225-3234). ACM.

or attribute the data to Microsoft as follows:

Data Source: Microsoft Exercise Recognition from Wearable Sensors dataset (https://github.com/microsoft/Exercise-Recognition-from-Wearable-Sensors)

Contributing:

This project is not open for contributions.
This project has adopted the Microsoft Open Source Code of Conduct. For more information see the Code of Conduct FAQ or contact opencode@microsoft.com with any additional questions or comments.