Research data supporting "Walk detection and step counting on unconstrained smartphones"
MetadataShow full item record
Harle, R., & Brajdic, A. (2017). Research data supporting "Walk detection and step counting on unconstrained smartphones" [Dataset]. https://doi.org/10.17863/CAM.12982
The dataset contains time-annotated sensor traces obtained from smartphones in typical, unconstrained use while walking. 27 participants were asked to walk a route at three different walk paces: starting with normal, followed by fast, and ending with slow. Each participant walked the same distance and changed her/his speed at markers installed on the path. The participant carried one or two phones placed at varying positions (in a front or back trouser pocket, in a backpack/handbag, or in a hand with or without simultaneous typing). This dataset has been used for a fair, quantitative comparison of standard algorithms for walk detection and step counting. For more details about these experiments and the obtained results please refer to the full paper on the left.
See README.txt infile
Step detection, walk detection
Publication Reference: https://doi.org/10.1145/2493432.2493449
This record's DOI: https://doi.org/10.17863/CAM.12982
GNU General Public License v3.0, GNU General Public License v3.0, GNU General Public License v3.0, GNU General Public License v3.0, GNU General Public License v3.0