Walking Recognition Dataset
Datos anotados dos sensores inerciais do móbil de 77 usuarios mentres camiñan
This dataset contains 1.5 GB of smartphone inertial data from 77 different people carrying out walking and not walking activities. The volunteers performed these activities while they carried the mobile device (Bq Aquaris M5) in different locations (hand, bag, pocket, ear, etc.) The vast majority of the volunteers (72, specifically) were not connected to the research, because we wanted to ensure that the data were not biased. In this way, in each record, the participant walked under natural conditions, freely or following some basic premises, while the information provided by the inertial sensors of the mobile phone was recorded and processed. Each volunteer walked, on average, about 2 minutes, giving around 110 steps.
The recorded data comes from the 3 inertial sensors available on all smartphones: accelerometer, gyroscope and magnetometer. All data was annotated indicating when the user is walking or not. For that, volunteers carried a set of sensorized devices in their legs. In particular, they carried two other smartphones (two Bq Aquaris E5s), one on each leg, tied with sport armbands, as shown in Figure 1. The inertial information registered in the legs is good enough to perform real time labeling and disambiguate when the user is really walking.
Acknowledgments
This research has received financial support from AEI/FEDER (European Union) grant number TIN2017-90135-R, as well as the Consellería de Cultura, Educación e Ordenación Universitaria of Galicia (accreditation 2016--2019, ED431G/01 and ED431G/08, reference competitive group ED431C2018/29, and grant ED431F2018/02), and the European Regional Development Fund (ERDF). It has also been supported by the Ministerio de Educación, Cultura y Deporte of Spain in the FPU 2017 program (FPU17/04154), and the Ministerio de Economía, Industria y Competitividad in the Industrial PhD 2014 program.
References
This dataset was used in the experimental results of our work:
Casado, F. E., Rodríguez, G., Iglesias, R., Regueiro, C. V., Barro, S., & Canedo-Rodríguez, A. (2020). Walking Recognition in Mobile Devices. Sensors 2020, 20(4), 1189.
Cita recomendada
@article{casado2020walking,
title={Walking Recognition in Mobile Devices},
author={Casado, Fernando E and Rodr{\'\i}guez, Germ{\'a}n and Iglesias, Roberto and Regueiro, Carlos V and Barro, Sen{\'e}n and Canedo-Rodr{\'\i}guez, Adri{\'a}n},
journal={Sensors},
volume={20},
number={4},
pages={1189},
year={2020},
publisher={Multidisciplinary Digital Publishing Institute}
}