Oxford Step Counter

About the project

The Oxford Step Counter is a project developed by Jamieson Brynes during his fourth-year research project at the University of Oxford

The algorithm that analyses the accelerometer signal in order to estimate the number of steps is inspired by [1] and better described in our new paper [2].

The code

These repositories provide access to the code and the data gathered during the project.

References

  1. Brajdic, Agata, and Robert Harle. "Walk detection and step counting on unconstrained smartphones." Proceedings of the 2013 ACM international joint conference on Pervasive and ubiquitous computing. ACM, 2013.
  2. Salvi, Dario, Carmelo Velardo, Jamieson Brynes, and Lionel Tarassenko. "An optimised algorithm for accurate steps counting from smart-phone accelerometry." In 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), pp. 4423-4427. IEEE, 2018.
  3. Anna Brondin, Marcus Nordström, Carl Magnus Olsson, and Dario Salvi. 2020. Open source step counter algorithm for wearable devices. In 10th International Conference on the Internet of Things Companion (IoT '20 Companion). Association for Computing Machinery, New York, NY, USA, Article 6, 1–7. DOI:https://doi.org/10.1145/3423423.3423431