A Communication Model to Integrate the Request-Response and the Publish-Subscribe Paradigms into Ubiquitous Systems

The Request-Response (RR) paradigm is widely used in ubiquitous systems to exchange information in a secure, reliable and timely manner. Nonetheless, there is also an emerging need for adopting the Publish-Subscribe (PubSub) paradigm in this kind of systems, due to the advantages that this paradigm offers in supporting mobility by means of asynchronous, non-blocking and one-to-many message distribution semantics for event notification. This paper analyzes the strengths and weaknesses of both the RR and PubSub paradigms to support communications in ubiquitous systems and proposes an abstract communication model in order to enable their seamless integration. Thus, developers will be focused on communication semantics and the required quality properties, rather than be concerned about specific communication mechanisms. The aim is to provide developers with abstractions intended to decrease the complexity of integrating different communication paradigms commonly needed in ubiquitous systems. The proposal has been applied to implement a middleware and a real home automation system to show its applicability and benefits.This research work is funded by the Project P10-TIC-6600 granted by the Andalusian Regional Government, and the Project 20F2/36 granted by CEI-BioTIC Granada. This work has also been partially supported by the “Contrato-Programa, Facultad de Educacin y Humanidades de Ceuta 2010-2012” of the University of Granada

Design of a Predictive Scheduling System to Improve Assisted Living Services for Elders

International audienceAs the number of older adults increases, and with it the demand for dedicated care, geriatric residences face a shortage of caregivers, who themselves experience work overload, stress and burden. We conducted a long-term field study in three geriatric residences to understand the work conditions of caregivers with the aim of developing technologies to assist them in their work and help them deal with their burden. From this study we obtained relevant requirements and insights of design that were used to design, implement and evaluate two prototypes for supporting caregivers' tasks (e.g. electronic recording and automatic notifications), in order to validate the feasibility of their implementation in-situ and the technical requirements. The evaluation in-situ of the prototypes was conducted for a period of four weeks. The results of the evaluation, together with the data collected from six months of use, motivated the design of a predictive schedule. Such design was iteratively improved and evaluated in participative sessions with caregivers. PRESENCE, the predictive schedule we propose, triggers real-time alerts of risky situations (e.g. falls, entering off-limits areas such as the infirmary or the kitchen) and, informs caregivers of routine tasks that need to be performed (e.g. medication administration, diaper change, etc.). Moreover, PRESENCE helps caregivers to record caring tasks (such as diaper changes or medication) and wellbeing assessments (such as the mood), which are difficult to automatize. This facilitates caregiver's shift handover, and can help to train new caregivers by suggesting routine tasks and by sending reminders and timely information about the residents. It can be seen as a tool to reduce the workload of caregivers and medical staff. Instead of trying to substitute the caregiver with an automatic caring system, as proposed by others, we propose the design of our predictive schedule system that blends caregiver's assessments and measurements from sensors. We show the feasibility of predicting caregiver's tasks and a formative evaluation with caregivers that provides preliminary evidence of its utility

Model-Based Occupant Tracking Using Slab-Vibration Measurements

Sensor-based occupant tracking has the potential to enhance knowledge of the utilization of buildings. Occupancy-tracking strategies using footstep-induced floor vibrations may be beneficial for thermal-load prediction, security enhancement, and care-giving without undermining privacy. Current floor-vibration-based occupant-tracking methodologies are based on data-driven techniques that do not include a physics-based model of the structural behavior of the floor slab. These techniques suffer from ambiguous interpretations when signals are affected by complex configurations of structural and non-structural elements such as beams and walls. Using a physics-based model for data-interpretation enables deployment of sparse number of sensors in contexts of non-uniform structural configurations. In this paper, an application of physics-based data interpretation using error-domain model falsification (EDMF) is presented to track an occupant within an office environment through footstep-induced floor vibrations. EDMF is a population-based approach that incorporates various sources of uncertainty, including bias, arising from measurements and modeling. EDMF involves the rejection of simulated model responses that contradict footstep-induced floor vibration measurements. Thus, EDMF provides a set of candidate locations from an initial population of possible occupant locations. A sequential analysis that accommodates information from previous footsteps is then used to enhance candidate locations and identify trajectories among candidates. In this way, incorporating structural behavior in interpreting vibration measurements induced by occupant footsteps has the potential to identify accurately the trajectory of an occupant in buildings with complex configurations, thereby providing tracking information without undermining privacy

Model-Based Occupant Tracking Using Slab-Vibration Measurements

Sensor-based occupant tracking has the potential to enhance knowledge of the utilization of buildings. Occupancy-tracking strategies using footstep-induced floor vibrations may be beneficial for thermal-load prediction, security enhancement, and care-giving without undermining privacy. Current floor-vibration-based occupant-tracking methodologies are based on data-driven techniques that do not include a physics-based model of the structural behavior of the floor slab. These techniques suffer from ambiguous interpretations when signals are affected by complex configurations of structural and non-structural elements such as beams and walls. Using a physics-based model for data-interpretation enables deployment of sparse number of sensors in contexts of non-uniform structural configurations. In this paper, an application of physics-based data interpretation using error-domain model falsification (EDMF) is presented to track an occupant within an office environment through footstep-induced floor vibrations. EDMF is a population-based approach that incorporates various sources of uncertainty, including bias, arising from measurements and modeling. EDMF involves the rejection of simulated model responses that contradict footstep-induced floor vibration measurements. Thus, EDMF provides a set of candidate locations from an initial population of possible occupant locations. A sequential analysis that accommodates information from previous footsteps is then used to enhance candidate locations and identify trajectories among candidates. In this way, incorporating structural behavior in interpreting vibration measurements induced by occupant footsteps has the potential to identify accurately the trajectory of an occupant in buildings with complex configurations, thereby providing tracking information without undermining privacy

APPLICATIONS OF MACHINE LEARNING AND COMPUTER VISION FOR SMART INFRASTRUCTURE MANAGEMENT IN CIVIL ENGINEERING

Machine Learning and Computer Vision are the two technologies that have innovative applications in diverse fields, including engineering, medicines, agriculture, astronomy, sports, education etc. The idea of enabling machines to make human like decisions is not a recent one. It dates to the early 1900s when analogies were drawn out between neurons in a human brain and capability of a machine to function like humans. However, major advances in the specifics of this theory were not until 1950s when the first experiments were conducted to determine if machines can support artificial intelligence. As computation powers increased, in the form of parallel computing and GPU computing, the time required for training the algorithms decreased significantly. Machine Learning is now used in almost every day to day activities. This research demonstrates the use of machine learning and computer vision for smart infrastructure management. This research’s contribution includes two case studies – a) Occupancy detection using vibration sensors and machine learning and b) Traffic detection, tracking, classification and counting on Memorial Bridge in Portsmouth, NH using computer vision and machine learning. Each case study, includes controlled experiments with a verification data set. Both the studies yielded results that validated the approach of using machine learning and computer vision. Both case studies present a scenario where in machine learning is applied to a civil engineering challenge to create a more objective basis for decision-making. This work also includes a summary of the current state-of-the -practice of machine learning in Civil Engineering and the suggested steps to advance its application in civil engineering based on this research in order to use the technology more effectively

Individual Behavior Modeling with Sensors Using Process Mining

[EN] Understanding human behavior can assist in the adoption of satisfactory health interventions and improved care. One of the main problems relies on the definition of human behaviors, as human activities depend on multiple variables and are of dynamic nature. Although smart homes have advanced in the latest years and contributed to unobtrusive human behavior tracking, artificial intelligence has not coped yet with the problem of variability and dynamism of these behaviors. Process mining is an emerging discipline capable of adapting to the nature of high-variate data and extract knowledge to define behavior patterns. In this study, we analyze data from 25 in-house residents acquired with indoor location sensors by means of process mining clustering techniques, which allows obtaining workflows of the human behavior inside the house. Data are clustered by adjusting two variables: the similarity index and the Euclidean distance between workflows. Thereafter, two main models are created: (1) a workflow view to analyze the characteristics of the discovered clusters and the information they reveal about human behavior and (2) a calendar view, in which common behaviors are rendered in the way of a calendar allowing to detect relevant patterns depending on the day of the week and the season of the year. Three representative patients who performed three different behaviors: stable, unstable, and complex behaviors according to the proposed approach are investigated. This approach provides human behavior details in the manner of a workflow model, discovering user paths, frequent transitions between rooms, and the time the user was in each room, in addition to showing the results into the calendar view increases readability and visual attraction of human behaviors, allowing to us detect patterns happening on special days.This research was funded by ITACA SABIEN and partially supported by CONICYT REDI 170136.Dogan, O.; Martinez-Millana, A.; Rojas, E.; Sepulveda, M.; Munoz Gama, J.; Traver Salcedo, V.; Fernández Llatas, C. (2019). Individual Behavior Modeling with Sensors Using Process Mining. Electronics. 8(7):1-17. https://doi.org/10.3390/electronics8070766S11787Gubbi, J., Buyya, R., Marusic, S., & Palaniswami, M. (2013). Internet of Things (IoT): A vision, architectural elements, and future directions. Future Generation Computer Systems, 29(7), 1645-1660. doi:10.1016/j.future.2013.01.010Guo, B., Zhang, D., Wang, Z., Yu, Z., & Zhou, X. (2013). 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SHELDON Smart habitat for the elderly.

An insightful document concerning active and assisted living under different perspectives: Furniture and habitat, ICT solutions and Healthcare

Home gateway do Living Usability Lab

Mestrado em Sistemas de InformaçãoA população sénior tem crescido exponencialmente nos últimos anos, o que leva a que haja uma procura de recursos de prestação de serviços de saúde que é maior do que a oferta. De forma a resolver este problema surgiu o Ambient Assisted Living para apoiar seniores no seu quotidiano, dentro das suas habitações. Neste documento é descrito o desenvolvimento do Home Gateway para apoio aos serviços Ambient Assisted Living, do projeto Living Usability Lab, e respetiva arquitetura. O Home Gateway é a entidade responsável por gerir todos os recursos oferecidos na habitação do sénior. A arquitetura deste sistema é baseada na arquitetura orientada a serviços, utilizando o OSGi. Os recursos são todos disponibilizados através de serviços Web pelo que são descritos alguns dos serviços implementados. O Home Gateway desenvolvido responde eficientemente à necessidade de este ser autónomo, de interoperabilidade, de segurança, de escalabilidade, de conter monitorização, de personalização, de adaptação, de ser embebido e distribuído, de providenciar interação explícita, entre outros. O sistema desenvolvido é passível de ser expandido a outras áreas de saúde e a outros leques etários, para além do apoio à população sénior na própria habitação. Em suma e tendo em conta as conclusões e limitações do trabalho desenvolvido torna-se evidente a possibilidade de trabalhos futuros focados em soluções que podem vir a ser implementadas.The elder population has been growing exponentially in the last years, which results in a greater search of provision of health care resources comparing to the provision of that services. In order to solve this problem the Ambient Assisted Living emerged to support the elderly in their daily life, within their homes. In this document, it’s described the development of the Home Gateway to support the services of Ambient Assisted Living, of Living Usability Lab project and its architecture. The Home Gateway is the entity responsible for managing all the resources available in the elderly's house. The Home Gateway architecture is based on service-oriented architecture using OSGi. The resources are all available through Web services, hence some of the implemented services are described. The developed Home Gateway responds effectively to the needs of being autonomous, of interoperability, security, scalability, monitoring, customization, adaptation, being impregnated and distributed, providing explicit interaction, among others. The system that has been developed may be used in other health areas and with different age ranges in addition to supporting the elderly in their own homes. In brief, and taking into account the conclusions and limitations of the developed work, it becomes clear the possibility of future work on the field focused on solutions that can be implemented

Design Strategy for Integrated Personal Health Records: Improving the User Experience of Digital Healthcare and Wellbeing

This dissertation addresses the timely problem of designing Integrated Personal Health Records (PHR). The goal is to provide citizens with digital user experiences, sustainable and flexible enough, for gaining control over their personal health information in a seamless way. Most importantly, so that people are able to reflect and act upon their selfknowledge, towards the accomplishment of their good health and wellbeing. Towards this end, the Integrated PHR as an emerging model in the field of Health IT, was the framework that set this research forward on exploring how communication and collaboration between patients and providers can be improved, which naturally impacts the field of HCI. Acknowledging that today patients are the ones who own all that is recorded about their health data, this new model was object of a design strategy that shaped the results presented in this dissertation. These have showed how patients can have more control of their health over time, through a patient-centered, organic system, which has the ability of combining multiple sources of data both from patient and provider side. As this new type of PHR fosters the creation of integrated networks, this milestone was achieved in this research by interacting with cross-channel user experiences that took part of nationwide healthcare ecosystems. The work presented herein, has demonstrated through the analysis and development of two use cases in cooperation with organizations connected to the Portuguese Ministry of Health, how an Integrated PHR can be a powerful personal tool, to be used by the citizen with undeniable value to the demands of an aging society. The use cases structured the thesis into two parts. The first part in collaboration with the Portuguese National Patient Portal, combines an Integrated PHR and incorporates the Portuguese Data Sharing Platform (PDS), which can be used by any Portuguese citizen. This use case study led to a proposal of the portal by also creating a foundational model for designing Integrated PHRs. The second part in collaboration with the Portuguese National Senior Telehealth Program (Saúde 24 Sénior), led to another proposal for an Integrated PHR, applying the outcomes from Part 1 and the requirements that derived from the findings explored in this second use case study. The proposed solution, has the potential to be used by the Portuguese senior community in the scope of home assistive care. Both proposals applied a user experience design methodology and included the development of two prototypes. The engagement of the stakeholders during the two case studies was accomplished with participatory design methods and followed a multidisciplinary approach to create solutions that would meet the human, politics and behavior interdependencies that were inherent to the process of working with large healthcare organizations. The provided contributions from this thesis intent to be part of a transition process that is changing the behavior of the healthcare sector, which is increasingly moving towards the improvement of the patient-provider relationship, patient engagement, collaborative care and positive computing, where digital technologies play a key role