Research data supporting "Walk detection and step counting on unconstrained smartphones"
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.