Indoor Positioning for Monitoring Older Adults at Home: Wi-Fi and BLE Technologies in Real Scenarios

This paper presents our experience on a real case of applying an indoor localization system formonitoringolderadultsintheirownhomes. Sincethesystemisdesignedtobeusedbyrealusers, therearemanysituationsthatcannotbecontrolledbysystemdevelopersandcanbeasourceoferrors. This paper presents some of the problems that arise when real non-expert users use localization systems and discusses some strategies to deal with such situations. Two technologies were tested to provide indoor localization: Wi-Fi and Bluetooth Low Energy. The results shown in the paper suggest that the Bluetooth Low Energy based one is preferable in the proposed task

Equivalence of chatbot and paper-and-pencil versions of the De Jong Gierveld loneliness scale

This is a post-peer-review, pre-copyedit version of an article published in Current Psychology. The final authenticated version is available online at: https://doi.org/10.1007/s12144-020-01117-0Technological progress provides health professionals with an excellent opportunity to take advantage of these developments and contribute to the development of efficient ways of diagnosing, monitoring, treating and assisting users. The purpose of this work is to present the results of a study conducted to examine the quantitative equivalence of paper-and-pencil and a voice-based conversational assistant, popularly known as a “chatbot”, as means to administer tests. One hundred and eight undergraduate university students completed both versions of the De Jong Gierveld Loneliness Scale. The interval between the first and second administration was set at four days. Validity, internal structure, internal consistency and equivalence of chatbot administration mode were assessed. A confirmatory factor analysis was used to verify the factor structure and provided a two-factor structure. Validity and internal consistency are adequate. These results support the feasibility of using chatbots for loneliness assessment in a sample of undergraduate university students and other populations in future

Senior Monitoring: A Real Case of Applying a WiFi Fingerprinting-based Indoor Positioning Method for People Monitoring

Ponència presentada a 10th International Conference on Indoor Positioning and Indoor Navigation IPIN 2019 celebrada a Pisa, Itàlia, del 30 de setembre al 3 d'octubre de 2019This paper presents our experience on a real case of applying a Wi-Fi fingerprinting-based indoor localization system for monitoring elder people in their own homes. The presented system is part of a broad project called Senior Monitoring where the main aim is to monitor elders to study behavioural patterns as a tool for early detection of some cognitive decay diseases. Since the system is used by real users, there are many situations that cannot be controlled by system developers and can be a source of errors. This paper presents some of the problems arisen when real non-expert users use localization systems, and discuss some strategies to deal with such situations

Multimodal Sensor Data Integration for Indoor Positioning in Ambient-Assisted Living Environments

A reliable Indoor Positioning System (IPS) is a crucial part of the Ambient-Assisted Living (AAL) concept. The use of Wi-Fi fingerprinting techniques to determine the location of the user, based on the Received Signal Strength Indication (RSSI) mapping, avoids the need to deploy a dedicated positioning infrastructure but comes with its own issues. Heterogeneity of devices and RSSI variability in space and time due to environment changing conditions pose a challenge to positioning systems based on this technique. The primary purpose of this research is to examine the viability of leveraging other sensors in aiding the positioning system to provide more accurate predictions. In particular, the experiments presented in this work show that Inertial Motion Units (IMU), which are present by default in smart devices such as smartphones or smartwatches, can increase the performance of Indoor Positioning Systems in AAL environments. Furthermore, this paper assesses a set of techniques to predict the future performance of the positioning system based on the training data, as well as complementary strategies such as data scaling and the use of consecutive Wi-Fi scanning to further improve the reliability of the IPS predictions. This research shows that a robust positioning estimation can be derived from such strategies

A Generative Method for Indoor Localization Using Wi-Fi Fingerprinting

Indoor localization is an enabling technology for pervasive and mobile computing applications. Although different technologies have been proposed for indoor localization, Wi-Fi fingerprinting is one of the most used techniques due to the pervasiveness of Wi-Fi technology. Most Wi-Fi fingerprinting localization methods presented in the literature are discriminative methods. We present a generative method for indoor localization based on Wi-Fi fingerprinting. The Received Signal Strength Indicator received from a Wireless Access Point is modeled by a hidden Markov model. Unlike other algorithms, the use of a hidden Markov model allows ours to take advantage of the temporal autocorrelation present in the Wi-Fi signal. The algorithm estimates the user’s location based on the hidden Markov model, which models the signal and the forward algorithm to determine the likelihood of a given time series of Received Signal Strength Indicators. The proposed method was compared with four other well-known Machine Learning algorithms through extensive experimentation with data collected in real scenarios. The proposed method obtained competitive results in most scenarios tested and was the best method in 17 of 60 experiments performed

Mejora de la calidad de vida de las personas mayores en sus domicilios a través de la tecnología de localización de interiores

IV Jornada Nacional de Psicología del Envejecimiento. Nuevos perfiles de mayores. Adaptando la intervención a los nuevos tiempos.Jornada aupisciada por: Consejo General de la Psicología de EspañaLa propensión a vivir en soledad aumenta con la edad y suele ser sobre todo femenina en la vejez. En España, según datos del INE publicados en 2018, había 4.687.400 personas viviendo solas en el año 2017. De esta cifra, el 41,8% tenían 65 o más años. Se espera que en los próximos años aumente ligeramente esta tendencia. En muchas ocasiones, las personas mayores desean vivir solas, sin embargo, un elevado número de éstas manifiestan la soledad con cierta angustia. Tal y como indican diversos estudios científicos, la soledad no deseada es un factor de riesgo para la salud. El objetivo de la investigación es validar el uso de un dispositivo, en concreto un reloj inteligente, para evaluar, de forma no intrusiva, la ubicación de las personas mayores que viven solas en sus propios domicilios, crear patrones de movimiento y detectar anomalías que puedan suponer un riesgo para su salud. Se ha realizado un diseño cuasi-experimental en dos fases. En la primera fase han participado 25 personas de entre 61 y 73 años de edad. Una vez cumplimentado un consentimiento informado se les facilitó un “smartwatch” durante dos meses. Los resultados preliminares de la primera fase muestran una alta variabilidad en la exactitud de los resultados de localización, principalmente relacionada con la variación en el número de puntos de acceso disponibles en las distintas viviendas; en aquellas en las que el número de puntos de acceso era alto, la localización mostraba una tasa de aciertos superior al 90%. En estos momentos, en la segunda fase, se está procediendo a la mejora del sistema de localización. Los smartwatches disponen de una serie de sensores que permiten la mejora de la localización basada en señales Wi-Fi, por ejemplo, el acelerómetro o el contador de pasos

Sistema de ayuda a las pruebas de fragilidad

​Treball Final de Grau en Enginyeria Informàtica. Codi: EI1054. Curs acadèmic: 2021/2022La fragilidad es un estado de pre-discapacidad de riesgo de desarrollar una minusvalía que afecta sobre todo a las personas mayores. La detección temprana de la fragilidad permite identifcar a las personas que aún poseen su independencia pero que se encuentran en una situación de pérdida funcional. En este documento se presenta el desarrollo de una aplicación informática para digitalizar el proceso que conlleva realizar las pruebas físicas para detectar el estado de fragilidad. La fnalidad de esta aplicación es ayudar a los pacientes a llevar a cabo las pruebas físicas y a realizar un seguimiento de su estado de fragilidad a través de su teléfono móvil. Las principales tecnologías usadas para el desarrollo de la aplicación han sido Quarkus para la lógica del servidor y Flutter para la interfaz móvil

Indoor Positioning for Monitoring Older Adults at Home: Wi-Fi and BLE Technologies in Real Scenarios

This paper presents our experience on a real case of applying an indoor localization system formonitoringolderadultsintheirownhomes. Sincethesystemisdesignedtobeusedbyrealusers, therearemanysituationsthatcannotbecontrolledbysystemdevelopersandcanbeasourceoferrors. This paper presents some of the problems that arise when real non-expert users use localization systems and discusses some strategies to deal with such situations. Two technologies were tested to provide indoor localization: Wi-Fi and Bluetooth Low Energy. The results shown in the paper suggest that the Bluetooth Low Energy based one is preferable in the proposed task