398 research outputs found
Intelligent Luminaire based Real-time Indoor Positioning for Assisted Living
This paper presents an experimental evaluation on the accuracy of indoor
localisation. The research was carried out as part of a European Union project
targeting the creation of ICT solutions for older adult care. Current
expectation is that advances in technology will supplement the human workforce
required for older adult care, improve their quality of life and decrease
healthcare expenditure. The proposed approach is implemented in the form of a
configurable cyber-physical system that enables indoor localization and
monitoring of older adults living at home or in residential buildings. Hardware
consists of custom developed luminaires with sensing, communication and
processing capabilities. They replace the existing lighting infrastructure, do
not look out of place and are cost effective. The luminaires record the
strength of a Bluetooth signal emitted by a wearable device equipped by the
monitored user. The system's software server uses trilateration to calculate
the person's location based on known luminaire placement and recorded signal
strengths. However, multipath fading caused by the presence of walls, furniture
and other objects introduces localisation errors. Our previous experiments
showed that room-level accuracy can be achieved using software-based filtering
for a stationary subject. Our current objective is to assess system accuracy in
the context of a moving subject, and ascertain whether room-level localization
is feasible in real time
Towards the internet of agents: an analysis of the internet of things from the intelligence and autonomy perspective
Recently, the scientific community has demonstrated a special interest in the process related to the integration of the agent-oriented
technology with Internet of Things (IoT) platforms. Then, it arises a novel approach named Internet of Agents (IoA) as an alternative
to add an intelligence and autonomy component for IoT devices and networks. This paper presents an analysis of the main benefits
derived from the use of the IoA approach, based on a practical point of view regarding the necessities that humans demand in their
daily life and work, which can be solved by IoT networks modeled as IoA infrastructures. It has been presented 24 study cases of the
IoA approach at different domains ––smart industry, smart city and smart health wellbeing–– in order to define the scope of these
proposals in terms of intelligence and autonomy in contrast to their corresponding generic IoT applications.En los Ăşltimos años, la comunidad cientĂfica ha mostrado un interĂ©s especial en torno al proceso de integraciĂłn de la tecnologĂa
orientada a agentes sobre plataformas de Internet de las Cosas (IoT, por sus siglas en inglĂ©s). Surge asĂ, un nuevo enfoque denominado
Internet de los Agentes (IoA, por sus siglas en inglĂ©s) como una alternativa para añadir un componente de inteligencia y autonomĂa
sobre los dispositivos y redes de IoT. El presente trabajo muestra un análisis de los principales beneficios derivados del uso del
enfoque del IoA, visto desde las actuales necesidades que el ser humano demanda en su trabajo y vida cotidiana, las cuales pueden
ser resueltas por redes de IoT modeladas como infraestructuras de IoA. Se plantea un total de 24 casos prácticos de aplicaciones de
IoA en diferentes dominios ––industria, ciudad, y salud y bienestar inteligente–– a fin de determinar el alcance de dichas aplicaciones
en tĂ©rminos de inteligencia y autonomĂa respecto a sus correspondientes aplicaciones genĂ©ricas de IoT.This study was founded by the Ecuadorian Ministry of
Higher Education, Science, Technology and Innovation
(SENESCYT)
Design and technical evaluation of an enhanced location-awareness service enabler for spatial disorientation management of elderly with mild cognitive impairment
The progressive ageing of population has turned the mild cognitive impairment (MCI) into a prevalent disease suffered by elderly. Consequently, the spatial disorientation has become a significant problem for older people and their caregivers. The ambient-assisted living applications are offering location-based services for empowering elderly to go outside and encouraging a greater independence. Therefore, this paper describes the design and technical evaluation of a location-awareness service enabler aimed at supporting and managing probable wandering situations of a person with MCI. Through the presence capabilities of the IP multimedia subsystem (IMS) architecture, the service will alert patient's contacts if a hazardous situation is detected depending on his location. Furthermore, information about the older person's security areas has been included in the user profile managed by IMS. In doing so, the service enabler introduced contribute to “context-awareness” paradigm allowing the adaptation and personalization of services depending on user's context and specific conditions or preferences
Analysis and evaluation of Wi-Fi indoor positioning systems using smartphones
This paper attempts to analyze the main algorithms used in Machine Learning applied to the indoor location. New technologies are facing new challenges. Satellite positioning has become a typical application of mobile phones, but stops working satisfactorily in enclosed spaces. Currently there is a problem in positioning which is unresolved. This circumstance motivates the research of new methods. After the introduction, the first chapter presents current methods of positioning and the problem of positioning indoors. This part of the work shows globally the current state of the art. It mentions a taxonomy that helps classify the different types of indoor positioning and a selection of current commercial solutions. The second chapter is more focused on the algorithms that will be analyzed. It explains how the most widely used of Machine Learning algorithms work. The aim of this section is to present mathematical algorithms theoretically. These algorithms were not designed for indoor location but can be used for countless solutions. In the third chapter, we learn gives tools work: Weka and Python. the results obtained after thousands of executions with different algorithms and parameters showing main problems of Machine Learning shown. In the fourth chapter the results are collected and the conclusions drawn are shown
A data-globe and immersive virtual reality environment for upper limb rehabilitation after spinal cord injury
While a number of virtual data-gloves have been used in stroke, there is little evidence about their use in spinal cord injury (SCI). A pilot clinical experience with nine SCI subjects was performed comparing two groups: one carried out a virtual rehabilitation training based on the use of a data glove, CyberTouch combined with traditional rehabilitation, during 30 minutes a day twice a week along two weeks; while the other made only conventional rehabilitation. Furthermore, two functional indexes were developed in order to assess the patient’s performance of the sessions: normalized trajectory lengths and repeatability. While differences between groups were not statistically significant, the data-glove group seemed to obtain better results in the muscle balance and functional parameters, and in the dexterity, coordination and fine grip tests. Related to the indexes that we implemented, normalized trajectory lengths and repeatability, every patient showed an improvement in at least one of the indexes, either along Y-axis trajectory or Z-axis trajectory. This study might be a step in investigating new ways of treatments and objective measures in order to obtain more accurate data about the patient’s evolution, allowing the clinicians to develop rehabilitation treatments, adapted to the abilities and needs of the patients
A multimodal Fingerprint-based Indoor Positioning System for airports
[EN] Indoor Localization techniques are becoming popular in order to provide a seamless indoor positioning system enhancing the traditional GPS service that is only suitable for outdoor environments. Though there are proprietary and costly approaches targeting high accuracy positioning, Wi-Fi and BLE networks are widely deployed in many public and private buildings (e.g. shopping malls, airports, universities, etc.). These networks are accessible through mobile phones resulting in an effective commercial off-the-self basic infrastructure for an indoor service. The obtained positioning accuracy is still being improved and there is on-going research on algorithms adapted for Wi-Fi and BLE and also for the particularities of indoor environments. This paper focuses not only on indoor positioning techniques, but also on a multimodal approach. Traditional proposals employ only one network technology whereas this paper integrates two different technologies in order to provide improved accuracy. It also sets the basis for combining (merging) additional technologies, if available. The initial results show that the positioning service performs better with a multimodal approach compared to individual (monomodal) approaches and even compared with GoogleÂżs geolocation service in public spaces such as airports.This work was supported in part by the European Commission through the Door to Door Information for Airports and Airlines Project under Grant GA 635885 and in part by the European Commission through the Interoperability of Heterogeneous IoT Platforms Project under Grant 687283.Molina Moreno, B.; Olivares-Gorriti, E.; Palau Salvador, CE.; Esteve Domingo, M. (2018). A multimodal Fingerprint-based Indoor Positioning System for airports. IEEE Access. 6:10092-10106. https://doi.org/10.1109/ACCESS.2018.2798918S1009210106
GNSS-free outdoor localization techniques for resource-constrained IoT architectures : a literature review
Large-scale deployments of the Internet of Things (IoT) are adopted for performance
improvement and cost reduction in several application domains. The four main IoT application
domains covered throughout this article are smart cities, smart transportation, smart healthcare, and
smart manufacturing. To increase IoT applicability, data generated by the IoT devices need to be
time-stamped and spatially contextualized. LPWANs have become an attractive solution for outdoor
localization and received significant attention from the research community due to low-power,
low-cost, and long-range communication. In addition, its signals can be used for communication
and localization simultaneously. There are different proposed localization methods to obtain the
IoT relative location. Each category of these proposed methods has pros and cons that make them
useful for specific IoT systems. Nevertheless, there are some limitations in proposed localization
methods that need to be eliminated to meet the IoT ecosystem needs completely. This has motivated
this work and provided the following contributions: (1) definition of the main requirements and
limitations of outdoor localization techniques for the IoT ecosystem, (2) description of the most
relevant GNSS-free outdoor localization methods with a focus on LPWAN technologies, (3) survey
the most relevant methods used within the IoT ecosystem for improving GNSS-free localization
accuracy, and (4) discussion covering the open challenges and future directions within the field.
Some of the important open issues that have different requirements in different IoT systems include
energy consumption, security and privacy, accuracy, and scalability. This paper provides an overview
of research works that have been published between 2018 to July 2021 and made available through
the Google Scholar database.5311-8814-F0ED | Sara Maria da Cruz Maia de Oliveira PaivaN/
An innovative AAL system based on neural networks and IoT-aware technologies to improve the quality of life in elderly people
Nowadays more and more elderly people need support in daily activities. This is due to the increase of cognitive diseases and other conditions which lead the elderly to not being self-sufficient. Considering this, providing an Ambient Assisted Living system could improve significantly people life quality and could support caregivers' tasks. The combination of Ambient Assisted Living systems and information and communication technologies achieve this purpose perfectly. They exploit internet of things and artificial intelligence paradigms to make daily challenges easier for people with neurodegenerative diseases. This work melds technologies mentioned above providing a smart system for elderly to manage goods and fill in shopping lists. It was possible using software, hardware, and cloud systems combined with a neural network aimed to recognise products. The proposed system has been validated both from a functional point of view through a proof-of-concept and quantitatively by a performance analysis of its components
Cenários comunicacionais baseados em IOT para a promoção do bem-estar fĂsico, psicolĂłgico e social dos sĂ©niores
The main objective of this research is to design and validate IoT based social hybrid scenario model that has the potential to promote psychological and physical wellbeing among older adults. The main reason to design and validate the model is age growth, older adults face psychological, physical and social well-being problems that increase mild cognitive impairment and frailty among older adults. Thus, to overcome older adults' problems, the study proposes and validates an IoT-based social hybrid scenario model. The model's features contain passive communication in which Drs, caregivers, and family members can monitor older adults' physical data from long distances. The model's features also contained intentional communication in which Older adults can interact online by text, audio, video calls, sharing images, and online activities such as painting, exercises and cooking. Moreover, older adults can do outdoor activities by inviting peers, friends or family members; the activities can be location-based IoT games, city tours, groups gardening and dinners. The outcomes of model validation will indicate how IoT characteristics can promote physical, psychological and social well-being and provide an opportunity for older adults to spend their life independently.
The research that embodies this thesis includes 411 senior Portuguese Universities which are located mainland and on the island of Portugal. Using descriptive research methodology, where quantitative results are analysed, the results indicated a holistic scenario of passive and intentional communication in the context of well-being promotion among olderadults. from here, the social hybrid scenario is outlined, a hybrid model that offers passive and intentional communication between olderadults, family and medical doctors in the context of well-being promotion. The design and characteristics of the model are based on the existing knowledg, and needs of older adults, family members and also medical doctors. Such as model is a compound of passive and intentional characteristics that helps to reduce problem-related mental and physical health. The Passive and intentional communication characteristics are capable to create an environment for older adultsto take care of their psychological and physical health without any intervention and also increase their social physical and online activities, these activities help to promote the well-being of olderadults andd improve the daily lifestyle.O principal objetivo desta pesquisa Ă© projetar e validar um modelo de cenário hĂbrido social baseado em IoT que tenha o potencial de promover o bem-estar psicolĂłgico e fĂsico entre os idosos. A principal razĂŁo para projetar e validar o modelo Ă© o crescimento da idade, os idosos enfrentam problemas psicolĂłgicos, fĂsicos e de bem-estar social que aumentam o comprometimento cognitivo leve e a fragilidade entre os idosos. Assim, para superar os problemas dos idosos, o estudo propõe e valida um modelo de cenário hĂbrido social baseado em IoT. Os recursos do modelo contĂŞm comunicação passiva na qual mĂ©dicos, cuidadores e familiares podem monitorar os dados fĂsicos dos idosos a longas distâncias. As caracterĂsticas do modelo tambĂ©m contemplam comunicação intencional em que os idosos podem interagir online por meio de texto, áudio, videochamadas, compartilhamento de imagens e atividades online como pintura, exercĂcios e culinária. AlĂ©m disso, os idosos podem fazer atividades ao ar livre convidando colegas, amigos ou familiares; as atividades podem ser jogos de IoT baseados em localização, passeios pela cidade, jardinagem em grupo e jantares. Os resultados da validação do modelo indicam como as caracterĂsticas da IoT podem promover o bem-estar fĂsico, psicolĂłgico e social e fornecer uma oportunidade para os idosos passarem sua vida de forma independente.
A investigação que dá corpo a esta tese inclui 411 universidades portuguesas seniores localizadas no continente e na ilha de Portugal. Utilizando metodologia de pesquisa descritiva, onde sĂŁo analisados resultados quantitativos, os resultados indicaram um cenário holĂstico de comunicação passiva e intencional no contexto da promoção do bem-estar entre idosos. a partir daqui, delineia-se o cenário social hĂbrido, um modelo hĂbrido que oferece comunicação passiva e intencional entre idosos, mĂ©dicos de famĂlia e mĂ©dicos no contexto da promoção do bem-estar. O desenho e as caracterĂsticas do modelo baseiam-se no conhecimento existente e nas necessidades dos idosos, familiares e tambĂ©m mĂ©dicos. Tal modelo Ă© um composto de caracterĂsticas passivas e intencionais que ajuda a reduzir os problemas relacionados com a saĂşde mental e fĂsica. As caracterĂsticas de comunicação passiva e intencional sĂŁo capazes de criar um ambiente para que os idosos cuidem de sua saĂşde psicolĂłgica e fĂsica e tambĂ©m aumentem suas atividades sociais fĂsicas e online, essas atividades ajudam a promover o bem-estar dos idosos e melhorar o estilo de vida diário.Programa Doutoral em Informação e Comunicação em Plataformas Digitai
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