Next Article in Journal
Seized Ecstasy Pills: Infrared Spectra and Image Datasets
Next Article in Special Issue
A Long-Term, Real-Life Parkinson Monitoring Database Combining Unscripted Objective and Subjective Recordings
Previous Article in Journal
A Compendium of Chemical Class and Use Type Open Access Databases
Previous Article in Special Issue
A Public Dataset of 24-h Multi-Levels Psycho-Physiological Responses in Young Healthy Adults
Data Descriptor

BLE-GSpeed: A New BLE-Based Dataset to Estimate User Gait Speed

1
Institute of New Imaging Technologies, Universitat Jaume I, Avda. Vicente Sos Baynat S/N, 12071 Castellón, Spain
2
Sensory Systems Research Group, University of Extremadura, 06006 Badajoz, Spain
*
Author to whom correspondence should be addressed.
Data 2020, 5(4), 115; https://doi.org/10.3390/data5040115
Received: 9 November 2020 / Revised: 1 December 2020 / Accepted: 4 December 2020 / Published: 7 December 2020
(This article belongs to the Special Issue Data from Smartphones and Wearables)
To estimate the user gait speed can be crucial in many topics, such as health care systems, since the presence of difficulties in walking is a core indicator of health and function in aging and disease. Methods for non-invasive and continuous assessment of the gait speed may be key to enable early detection of cognitive diseases such as dementia or Alzheimer’s disease. Wearable technologies can provide innovative solutions for healthcare problems. Bluetooth Low Energy (BLE) technology is excellent for wearables because it is very energy efficient, secure, and inexpensive. In this paper, the BLE-GSpeed database is presented. The dataset is composed of several BLE RSSI measurements obtained while users were walking at a constant speed along a corridor. Moreover, a set of experiments using a baseline algorithm to estimate the gait speed are also presented to provide baseline results to the research community. View Full-Text
Keywords: gait speed; public database; BLE-based technology gait speed; public database; BLE-based technology
Show Figures

Figure 1

MDPI and ACS Style

Sansano-Sansano, E.; Aranda, F.J.; Montoliu, R.; Álvarez, F.J. BLE-GSpeed: A New BLE-Based Dataset to Estimate User Gait Speed. Data 2020, 5, 115. https://doi.org/10.3390/data5040115

AMA Style

Sansano-Sansano E, Aranda FJ, Montoliu R, Álvarez FJ. BLE-GSpeed: A New BLE-Based Dataset to Estimate User Gait Speed. Data. 2020; 5(4):115. https://doi.org/10.3390/data5040115

Chicago/Turabian Style

Sansano-Sansano, Emilio, Fernando J. Aranda, Raúl Montoliu, and Fernando J. Álvarez. 2020. "BLE-GSpeed: A New BLE-Based Dataset to Estimate User Gait Speed" Data 5, no. 4: 115. https://doi.org/10.3390/data5040115

Find Other Styles
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Back to TopTop