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


No Thumbnail Available
Type
Dataset
Change log
Authors
Harle, RK 
Brajdic, A 
Description

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.

Version
Software / Usage instructions
See README.txt infile
Keywords
Step detection, walk detection
Publisher
Relationships
Supplements: