BLE-GSpeed: A new BLE- based dataset to estimate user gait speed

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

Multi-Slot BLE Raw Database for Accurate Positioning in Mixed Indoor/Outdoor Environments

The technologies and sensors embedded in smartphones have contributed to the spread of disruptive applications built on top of Location Based Services (LBSs). Among them, Bluetooth Low Energy (BLE) has been widely adopted for proximity and localization, as it is a simple but efficient positioning technology. This article presents a database of received signal strength measurements (RSSIs) on BLE signals in a real positioning system. The system was deployed on two buildings belonging to the campus of the University of Extremadura in Badajoz. the database is divided into three different deployments, changing in each of them the number of measurement points and the configuration of the BLE beacons. the beacons used in this work can broadcast up to six emission slots simultaneously. Fingerprinting positioning experiments are presented in this work using multiple slots, improving positioning accuracy when compared with the traditional single slot approach

Continuous Non-Invasive Assessment of Gait Speed Through Bluetooth Low Energy

In the near future, as a consequence of the increasing percentage of elder people with respect to the total population, developed countries will face significant stress on their healthcare systems. The onset of some diseases associated with aging, such as dementia or cognitive decline, has been associated with a number of factors that can be detected in advance, thus offering the possibility of an early intervention to delay their onset. Specifically, several studies have shown a correlation between slower gait speed and serious cognitive diseases such as Alzheimer’s disease. In this work we present a method, based on Bluetooth Low Energy (BLE), capable of detecting the user’s walking speed in a continuous and non-invasive way, providing a useful tool for the monitoring and early detection of this type of diseases. The proposed method estimates the gait speed with an average error of less than 10 cm/s, and is capable of providing continuous non-invasive monitoring of the gait speed of users while they conduct their usual life routines, without any additional requirements other than wearing a smartwatch or an activity band with inertial sensors and BLE capabilities

A novel method for in-home Gait Speed estimation in Health Monitoring Using Bluetooth Low Energy

Ponencia presentada en: 22nd IEEE International Conference on Industrial Technology (ICIT), del 10 al 12 de marzo de 2021Gait speed (GS) is a crucial parameter in the evolution and diagnosis of degenerative illnesses. Nowadays, it is measured in clinical environments where it is impossible to keep track of all patients due to the lack of resources. The development of GS measurement systems for in-home environments could solve this problem, but current methods present, at least, one of these problems: they require expensive hardware, are intrusive for the patient, or are imprecise. A novel method to measure GS in these scenarios using Bluetooth Low Energy and smart wearable devices is proposed in this work. The proposed system is inexpensive, non-intrusive, and its precision is comparable to the current state of the art methods. This system could be commercialized as part of an in-home health monitoring system

EnREDate en el Ribera

Se desarrolla un proyecto de innovación educativa que pretende conectar con el profesorado e implicarlo en la utilización de las Tecnologías de la Información y la Comunicación para aplicarlas en sus asignaturas y repercutir en la formación del alumnado para que igualmente utilicen las Nuevas Tecnologías como complemento a su formación. EnREDate consiste en la divulgación de una forma atractiva y puesta en práctica de una herramienta telemática de trabajo cooperativo desarrollado para centros de enseñanza. Dicha herramienta permite al profesorado y al alumnado colocar sus apuntes, trabajos y sugerencias, y un medio de comunicación La realización del proyecto se ha dividido en tres partes. En la primera parte se ha realizado la formación del profesorado en el uso de la herramienta informática Claroilex en dos turnos de formación, uno de mañana y otro de tarde. El profesorado ha recibido la información necesaria en el uso de Intranet, incidiendo especialmente en la subida de apuntes al servidor para que el alumnado pueda consultarlo, para la realización de exámenes, para la entrega de trabajos y para la comunicación de incidencias. En la segunda fase se ha informado al alumnado sobre la utilización de los recursos a través de regalos con información sobre el funcionamiento del recurso. Se distribuyen dípticos con información sobre el uso de Intranet y carpetas dónde en su portada se narra las posibilidades que pueden realizarse en la plataforma. En tercer lugar se realiza una campaña de concienciación para el uso de esta herramienta informática por parte del profesorado y del alumnado. Finalmente se desarrolla y se lleva a cabo el proyecto de Intranet, siendo exclusivo para el IES Ribera de Castilla y utilizado principalmente por el profesorado y el alumnado de conocimientos centrados en ciencias.Castilla y LeónConsejería de Educación. Dirección General de Universidades e Investigación; Monasterio de Nuestra Señora de Prado, Autovía Puente Colgante s. n.; 47071 Valladolid; +34983411881; +34983411939ES