Abstract-Classification of motion mode (walking, running, standing still) and device mode (hand-held, in pocket, in backpack) is an enabler in personal navigation systems for the purpose of saving energy and design parameter settings and also for its own sake. Our main contribution is to publish one of the most extensive datasets for this problem, including inertial data from eight users, each one performing three pre-defined trajectories carrying four smartphones and seventeen inertial measurement units on the body. All kind of metadata is available such as the ground truth of all modes and position. A second contribution is the first study on a joint classifier of motion and device mode, respectively, where preliminary but promising results are presented.
Therefore, the dataset described in REF is intended for study of motion mode and device mode determination problems.
IMU dataset for motion and device mode classification
2017 International Conference on Indoor Positioning and Indoor Navigation (IPIN)
2017 International Conference on Indoor Positioning and Indoor Navigation (IPIN)
Engineering Computer Science