文章基本信息

标题：BLE-GSpeed: A New BLE-Based Dataset to Estimate User Gait Speed
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作者：Emilio Sansano-Sansano ; Fernando J. Aranda ; Raúl Montoliu 等
期刊名称：Data
印刷版ISSN：2306-5729
出版年度：2020
卷号：5
期号：4
页码：115-129
DOI：10.3390/data5040115
出版社：MDPI Publishing
摘要：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.
关键词：gait speed; public database; BLE-based technology