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User location and tracking information are increasingly used for contact tracing and social community detection. In-door positioning and indoor navigation systems are reaching good performances in several realistic scenarios. After an evaluation exclusively done through simulations, nowadays, these systems are trying to reach robust performances and good accuracy in heterogeneous environments. Problems are manifold as each environment presents a structure that strongly affects inertial sensors and radio signal propagation. Generally, systems showing the best performances rely on an extended knowledge of the indoor map. Moreover, they implement a model for pedestrian dynamics in terms of e.g step length, stride and the behaviour of the target users. Experimental results obtained during realistic indoor competitions, clearly show that performances drop when such systems are used in unseen scenarios in which an external user test the proposed solution. In fact, many parameters that are generally calibrated and set to maximize the performances might not work as expected. In this paper, we highlight which best practices should be applied for model calibration in smartphone-based indoor positioning systems. We describe a reference system based on a particle filter, and we show the most relevant parameters and the main factors that are generally in common with all similar systems in the literature. We also present the Run-Once tool for reaching optimal parameters, highlighting those best practices that should be applied to indoor positioning systems to maximize their performances and improve their robustness.

In questo documento viene posta particolare attenzione alla malattia dello scompenso cardiaco che è una delle maggiori cause di mortalità e disabilità nella popolazione anziana oltre ad essere la prima causa di ricovero. Sono analizzate le soluzioni di monitoraggio domestico attualmente disponibili e i requisiti tecnici da soddisfare per poter raccogliere e analizzare i dati fisiologici nell'ambiente di vita e riconoscere situazioni di insorgenza o peggioramento di patologie nell'anziano.

Questo documento riporta l'analisi relativa alla progettazione del framework di integrazione delle funzionalità, come previsto dal progetto ChAALenge. In particolare, vengono in questa sede analizzate le tecnologie per lo sviluppo del middleware di comunicazione e le modalità di interfacciamento con le soluzioni sensoristiche individuate.

Il deliverable ha come obiettivo la definizione di un percorso intraprendibile per lo sviluppo di un modello predittivo, efficace ed efficiente, basato sul paradigma machine learning, sviluppato in funzione del dominio applicativo in esame e dei dati a disposizione. Una parte verrà dedicata all'introduzione degli aspetti principali legati alle strategie di individuazione di anomalie in serie temporali multi-variate tramite il suddetto modello predittivo.

Lo scopo di questo documento è riportare la descrizione delle attività progettuali svolte al fine di identificare e validare le soluzioni sensoristiche da integrare nella calzatura. In particolare, tenendo in considerazione le specifiche fornite nel precedente documento D1.1, sono stati considerati due tipologie di sensori: 1) sensori piezoresistivi per la rilevazione della forza di contatto piede-suolo; 2) sensori inerziali per l'analisi dinamica dei movimenti effettuati dal piede durante la camminata. Di queste due categorie di sensori vengono mostrate le principali caratteristiche, il loro principio di funzionamento e i risultati dei test effettuati.

Questo documento ha lo scopo di presentare i risultati dei test dei sistemi di monitoraggio di lungo periodo (come specificato nelle attività dell'OO5), con particolare riferimento agli algoritmi per l'identificazione degli indicatori di salute e benessere derivati dai monitoraggi di breve periodo che hanno permesso di effettuare un'analisi su lungo periodo per i soggetti volontari coinvolti. Inoltre, si presentano i dettagli della valutazione sperimentale del servizio di monitoraggio nutrizionale e composizione corporea, dei fattori di stress e delle interazioni sociali.

In questo documento presentiamo i risultati dell'Attività 3.1: "Definizione dell'architettura del sistema ICT per la gestione del sistema edificio". In particolare, viene definita l'architettura generale della piattaforma ICT per la raccolta e gestione dei dati da dispositivi IoT. Inoltre, sono presentate le tecnologie principali che costituiscono la piattaforma ICT, sia in termini di protocolli di comunicazione che di piattaforma software per la gestione ed erogazione di servizi ad applicazioni distribuite. Infine, vengono presentati i modelli di interazione fra le varie componenti che costituiscono la piattaforma ICT e gli attori del sistema.

In questo documento sono riportate le attività svolte nell'ambito dell'OO4 durante il secondo anno del progetto INTESA, mirate alla finalizzazione del sistema integrato di monitoraggio della qualità e durata del sonno. Durante questo periodo, partendo dall'architettura del sistema definita nel precedente documento D4.1.1, si è conclusa l'attività di sviluppo e sono stati effettuati i test per la verifica delle funzionalità del sistema e l'integrazione con gli altri componenti della piattaforma INTESA.

This report contains the description of the metrics and indicators used by the Decision Support System (DSS) for recommending and stimulating the user during the use of the NESTORE coaching system used to make healthier lifestyle choices. This document collects the outcomes of Task 4.1 - Algorithms for Short-term post-processing and extraction of indicators, whose objective is to extract knowledge from data streams generated by the NESTORE sensors and software applications. This kind of data is continuously mined to extract indicators about the NESTORE target domains identified in the WP2 activities, namely physiological, nutritional, cognitive and mental status and social behaviour of the user.

In questo documento presentiamo i risultati dell'Attività 3.2: "Sviluppo della sensoristica per il monitoraggio dei consumi energetici" e dell'Attività 3.3: "Sviluppo del middleware di comunicazione e di gestione di grossi volumi da sensori eterogenei ". In particolare, vengono presentati i vari standard di comunicazione radio per dispositivi IoT che sono stati integrati nella nostra piattaforma, e per ogni tecnologia vengono descritti i sensori ed attuatori che sono integrati nella piattaforma. Inoltre, viene descritta l'architettura software dei componenti che permettono di integrare le diverse tecnologie di comunicazione IoT (ZigBee, ZWave e 6LoWPAN) con il Middleware di comunicazione e gestione dei dati di tipo publish/subscribe che è stato adottato come riferimento per la piattaforma ICT di raccolta e gestione dei dati. Infine, viene descritta l'architettura software della dashboard, cioè una applicazione web il cui scopo principale è la visualizzazione e manipolazione, attraverso un'interfaccia web, delle serie temporali e dei metadati dei dispositivi (sensori e attuatori) di una rete di sensori.

Il documento contiene l'analisi dei requisiti del progetto e la definizione dei parametri biometrici/biomeccanici da rilevare, della piattaforma sensoristica necessaria, dell'interfaccia utente e il database per la memorizzazione delle informazioni.

In questo documento sono riportate le attività svolte nell'ambito dell'OO4 durante il secondo anno del progetto INTESA. In questo periodo, partendo dall'architettura del sistema definita nel precedente documento D4.4.1, si è conclusa l'attività di sviluppo e sono stati effettuati i test per la verifica delle funzionalità del sistema e l'integrazione con gli altri componenti della piattaforma INTESA. Il sistema è stato installato con successo presso la RSA ed è rimasto attivo durante tutto il periodo di sperimentazione permettendo agli operatori ed al personale medico di attuare gli esercizi proposti dal protocollo INTESA con i soggetti partecipanti e fornendo ai servizi di monitoraggio di lungo periodo le informazioni raffinate previste.

Lo scopo di questo documento è la rassegna dello stato dell'arte delle tecniche per l'analisi del cammino, in particolare per l'estrazione degli indicatori individuati nel precedente documento D1.1. Inoltre, considerando i sensori selezionati per l'installazione nella scarpa, sono illustrate le metodologie per adattare gli algoritmi disponibili in letteratura al contesto di Ki-Foot.

This document extends the deliverable D3.2.1 - Environmental Wireless Sensor Network (WSN) prototypes describing: i) the outcomes of the final iteration of the sensors selection for developing the environmental monitoring system of NESTORE; ii) the integrated system tests on the selected sensors. The selection followed the recommendations coming from the WP2 activities in terms of needed monitoring variables and unobtrusiveness. The document also presents the chosen technologies and their integration in the system using available off-the-shelf and custom devices by means of the Web of Things paradigm.

This document is the results of work in task T6.2 Evaluation of universAAL solution. Within this task the technological partners from NESTORE reviewed and analyses the official universAAL sources and documentation, realized a Proof-of-Concept. Based on learned lessons and intersecting them with NESTORE requirements are presented conclusions and NESTORE approach relating universAAL support.

Il documento descrive i modelli di monitoraggio delle varie attività svolte dai soggetti. Si presentano quindi le soluzioni tecnologiche esistenti (stato dell'arte) e le soluzioni proposte nel progetto, con particolare riferimento ai requisiti specifici della popolazione coinvolta e della struttura RSA. In particolare, il documento riporta i risultati dello studio dello stato dell'arte nei domini delle quattro attività previste dall'obiettivo operativo 5: monitoraggio delle interazioni sociali; monitoraggio delle attività giornaliere; analisi e definizioni di indicatori comportamentali per il benessere; inclusione sociale. Per affinità nei domini di alcune di queste attività e comodità di lettura, il documento è strutturato in modo da fornire dapprima una panoramica dello stato dell'arte nel monitoraggio comportamentale su lungo periodo, scopo generale dell'obiettivo operativo, dopodichè offre un focus su: stato dell'arte nel monitoraggio delle attività giornaliere previste nel progetto INTESA, in termini di correlazioni su breve e lungo periodo; stato dell'arte nel dominio del monitoraggio delle interazioni sociali, sia in termini di soluzioni esistenti legate al monitoraggio che ai servizi di inclusione sociale; stato dell'arte sulle soluzioni esistenti in letteratura per la definizione e l'analisi sul lungo periodo di indicatori comportamentali multidimensionali per il benessere, sia in termini di modelli che di strumenti per visualizzare e fornire indicazioni utili al personale medico.

Questo documento ha lo scopo di presentare le specifiche dello sviluppo dei sistemi di monitoraggio di lungo periodo (come specificato nelle attività dell'OO5), con particolare riferimento agli algoritmi per l'identificazione degli indicatori di salute e benessere derivati dai monitoraggi di breve periodo che hanno permesso di effettuare un'analisi su lungo periodo per i soggetti volontari coinvolti. Inoltre, si presentano i dettagli dello sviluppo del servizio di monitoraggio nutrizionale e composizione corporea, dei fattori di stress e delle interazioni sociali. Il primo ha contribuito al monitoraggio di lungo periodo, coinvolgendo molti utenti della struttura, oltre al gruppo selezionato. Il secondo sistema è stato invece utilizzato al contorno dei monitoraggi di breve periodo, come strumento di personalizzazione delle attività di riabilitazione motoria e cognitiva.

In questo documento sono riportate le attività, inquadrate nell'OO4, svolte durante il primo anno di progetto e consistite nella definizione della piattaforma di raccolta ed elaborazione dei dati per il sistema di analisi stabilometrica. In particolare, sono mostrati i dispositivi selezionati per l'acquisizione dei segnali, i sottosistemi progettatti per memorizzare, trasferire e analizzare le informazioni raccolte e gli algoritmi utilizzati per l'estrazione dei parametri rappresentativi del grado di stabilità di un individuo.

The present report accompanies deliverable D3.3 "Software Building Blocks", resulting from Task T3.3 "Development of Building Blocks to Fill Gaps" of the VRE4EIC project. As the name of the tasks says, Task T 3.3 has received as inputs the Reference Architecture (D3.1), specifying the components of the enhanced VRE (e-VRE for short), and the Gap Analysis (D3.2), indicating which components needs to be implemented to fill the gaps in existing VREs. Based on these inputs, as well on the non-functional requirements collected in D2.1, Task T3.3 has designed a Technical Architecture for implementing the Reference Architecture, and has implemented the components of the Technical Architecture indicated by the Gap Analysis. These components will be taken as input by Task T3.4 "Integration of Reference VRE and Enhanced Existing VREs" to be integrated into the architectures of the EPOS and the ENVRIplus VREs (Task 3.4), thereby enhancing these VREs. D3.3 delivers the implemented components of the Technical Architecture, named "Building Blocks" (BBs from now on for short) for their role in the enhancement of the VREs.

In questo documento sono riportate le attività svolte durante il primo anno di progetto, relativamente all'OO4, per quanto riguarda la progettazione dell'architettura del sistema di monitoraggio del sonno. In particolare, sono illustrati il prototipo del dispositivo progettato per l'acquisizione non invasiva dei segnali dal letto, i sottosistemi che si occupano di memorizzare, trasferire e analizzare le informazioni raccolte e gli algoritmi utilizzati per l'estrazione dei parametri rappresentativi della qualità del sonno.

Deliverable D4.3 describes the process of training, model selection and validation adopted to identify the most adequate setting (and fitting of the parameters) for the activity recognition components developed in WP4 and deployed in the DOREMI pilot phase. A detailed account of the experimental assessment of the expected performances on DOREMI laboratory data collected by task 6.1 (as per DoW) is provided. The deliverable also reports basic aggregated statistics on the data generated by the activity recognition and reasoning components during the DOREMI pilot experimental phases. Finally, it is provided a post-hoc assessment of the unsupervised exploratory data analysis and reasoning components following the UK pilots.

In this paper we present SIDEMAN, a service discovery algorithm that exploits human mobility patterns in Mobile Social Networks (MSN). SIDEMAN takes advantage of two aspects of MSN, namely, that users tend to form communities, and that users in the same community share interests for similar services. The performance of SIDEMAN has been evaluated through simulations in real and synthetic scenarios: A set of traces collected at IEEE Infocom 2006 and traces obtained from the HCMM mobility model, respectively.We have compared our algorithm to the social version of two popular discovery techniques, namely, flooding and gossiping. We investigated the following key metrics: How proactive an algorithm is in distributing services of interest (Recall); how many services are already with a user when s/he needs them (Gain); the energy cost necessary for service discovery; the time needed to reply to a service query, and the average number of services stored and exchanged. Our results show that in all considered scenarios SIDEMAN is remarkably effective in obtaining flawless Recall and a Gain that is always comparable to that of the other algorithms. Furthermore, most services are retrieved in reasonable time and at a remarkably lower energy cost than that of flooding and gossiping-based solutions.

AALOA, the Ambient Assisted Living Open source Association, was born to create an environment to foster initiatives linked to AAL. AALOA offers an environment where people and organizations can start an AAL project. Most projects are expected to be software projects, to be released using a Free / Libre / Opens Source software licence, but other types of activities, like research, conference organization, standardization and lobbying are envisioned as well. This paper illustrates the idea of the Ambient Assisted Living Open Association, the actions initiated by AALOA and those planned for the future. The main focus is on the exploitation possibilities which AALOA provides to the outcome of several European and non-European projects. A collaboration here would be a win-win situation. On one side, AALOA has already appropriate prominence and is linked to European strategies which can help to group people and associations around different project results and to position them in the right way and manner. On the other side AALOA is depending on the community and on the projects it hosts. To demonstrate this ambition and to give a demonstration for other European projects, the paper presents the identified exploitable results of the universAAL FP7 project and their planned incubation in AALOA.

In the recent past Smart Environments, and in particular Smart Homes, have attracted the attention of many re- searchers and industrial vendors. In such environments, according to the Ambient Intelligence paradigm, heterogeneous de- vices may operate collectively using context information and intelligence that is usually hidden in the home networks. The networks of ZigBee devices play an important role in this scenario. However they require an easier interaction model with IP- based networks. This work presents an open source platform that seamlessly integrates ZigBee devices with applications run- ning on smart phones and other connected devices available at home. It can be deployed on low-cost devices, such as Plug- PC, and it exploits the OSGi execution environment to discover devices and to notify the smart home of new available ser- vices1.

This paper presents an ongoing effort to create added value complete services for end users on top of an AAL continuous data gathering environment. It first presents the general architecture proposed by the GiraffPlus project for long term monitoring of older users at home, then describes the main choices concerning the middleware (universAAL compliant), the long-term data storage, and a user- oriented component, called DVPIS, dedicated to interaction with different users of the AAL environment. The current status of a deployed version of the system is then shortly described.

This work proposes an efficient proactive service discovery protocol that leverages the social behavior and the mobility of the people. The protocol is based on the concept that the service discovery performance is strongly affected by the mobility of the users and by their behavior along the time. Indeed, people generally have significant contacts with others like themselves with similar interests, hence they could be interested on similar services. We present simulation results that show that our protocol achieves increased efficiency in discovering services (compared to traditional broadcast-based mechanisms) by efficiently using bandwidth, thus decreasing the energy consumption.

Software that enables easy setup and deployment of the universAAL execution environment. Provides a uniform way for AAL services to access the hardware layer. Software that is installed on top of the universAAL execution environment, adding generic AAL service functionality. AAL platform services are software that is installed on top of the universAAL execution environment and Generic Platform services, providing business level AAL service functionality. Ontology artefacts are software and documents that enable developers to use a shared view on the AAL concepts and information models

This document is about supporting the start up of AALOA, an AAL Open Association. It explains the rationale behind this effort, sketches an initial comparison with similar organisations, examines the problems that we will find on the road and what are the main issues. It is a practical, short guide to the FLOSS (Free/Libre/Open Source Software) communities and introduces the software commodity and coopetition concepts, which are used to justify the needs of a convergence process towards a common shared platform for AAL. These concepts in addition to the AAL market fragmentation are the essence of the call for action expressed from the Manifesto of AALOA, which is reported in the appendix A. This document clarifies also the changes to the initial strategy of universAAL for creating a community of interested developers around its own platform as proposed in Description of Work. AALOA does not represent the specific community of universAAL project. AALOA will be the community of communities and universAAL will be one of those communities working in synergy for preparing the AAL market breakthrough. The document additionally reports about the status of the AALOA community, the current governing board composition, the communication infrastructures and tools activated, and the list of projects already incubated in AALOA. It sketches a road map for the association and gives an overview on what one should expect from it.

This work describes a service oriented middleware platform for Ambient Assisted Living and its use in two different bed activity services: bedsore prevention and sleeping monitoring. A detailed description of the middleware platform, its elements and interfaces, as well as a service that is able to classify some typical user's positions in the bed are presented. The key idea of this work is to leverage the presence of wireless sensor networks by collecting the received signal strength (RSS) measured among fixed general purpose wireless devices, deployed in the environment, and a wearable one.

This document reports on the second prototype of the system that is going to be deployed and installed at 6 test sites. The second prototype at month 18 provides the Giraff robot and the sensors integrated in a flexible and robust communication infrastructure. A middleware solution helps to integrate the software components developed by the WP3 and WP4 and enhanced Giraff platform with safer and semi-autonomous mobility features. Currently the prototype includes the Giraff robot, the Look4Myhealth kit, the monitoring sensors from Tunstall, additional environmental sensors, a physiological sensor for pulse oximetry measurements based on Android, the context recognition and configuration planning modules, and the remote storage and repository to collect user data. A new olfactory sensor is also considered that can be placed in strategic location like the fridge or near the garbage can and give alarms if needed. A new version of the middleware is presented and the semi-autonomy features for the giraffe robot are described.

We are pleased to announce the third EvAAL Competition. EvAAL aims at bringing together academic and industrial research communities to work together on challenging and open problems in Ambient Assisted Living (AAL), with the purpose of evaluating different approaches and envisioning new research opportunities. During the competitions, we will collect large datasets, collected in realistic environments (the living labs), that will be useful to the research community as benchmarks to simulate and test their solutions.

This work describes a service oriented middleware platform for Ambient Assisted Living and its use in two different bed activity services: bedsore prevention and sleeping monitoring. A detailed description of the middleware platform, its elements and interfaces, as well as a service that is able to classify some typical user's positions in the bed are presented. The key idea of this work is to leverage the presence of wireless sensor networks by collecting the received signal strength (RSS) measured among fixed general purpose wireless devices, deployed in the environment, and a wearable one.

This document is produced as part of the Deliverable n°1 of the contract n°6/2013 between Institute of Information Science and Technologies, Italian National Research Council (CNR-ISTI) and Telecom Italia (TI). In particular, with respect to the technical part of the contract, this document analyzes the current status of ZigBee Specification proposed by the OSGi Alliance, and it highlights the weakness of the current abstraction layer prosed by the OSGi Alliance in the RFC-192. Moreover, we defined a set of solution to overcome the lack of important feature from RFC-192 for abstracting the ZigBee network, and as part of the contract CNR-ISTI and TI are elaborating an official proposal to the OSGi Alliance for integrating the proposed solution. It is worth to notice that all the features that we mentioned in this document are selected because they are needed for supporting real life scenario of ZigBee network, so they are extremely important for enabling the wide spreading the RFC-192 standard and avoid the blooming of several vendor driven solution which, as result, would lock the gateway provider to a particular provider for its own gateway solution.

This paper describes a service oriented middleware platform for Ambient Assisted Living and its use in two different bed activity services: bedsore prevention and sleeping monitoring. A detailed description of the middleware platform, its elements and interfaces, as well as a service that is able to classify some typical user's positions in the bed are presented. Wireless Sensor Networks (WSN) are supposed to be widely deployed in indoor settings and on people's bodies in tomorrow's pervasive computing environments. The key idea of this work is to leverage their presence by collecting the Received Signal Strength (RSS) measured among fixed general purpose wireless sensor devices, deployed in the environment, and a wearable one. The RSS measurements are used to classify a set of user's positions in the bed, monitoring the activities of the user, and thus supporting the bedsores and the sleep monitoring issues. Moreover, the proposed services are able to decrease the energy consumption by exploiting the context information coming from the proposed middleware.

Deliverable D9.3 "Exploitation Plan" is about how the universAAL partners intend to exploit the project results both from a commercial and from a research point of view. It is responsible for defining the exploitation strategy, and the steps to be done during project lifetime and beyond in order to implement such strategy. The most relevant exploitable results are uStore, Developer Depot, the Runtime Execution Platform, AAL Studio and some of the AAL Services; a detailed view of exploitable results is provided and refined during the project lifetime.

Robotic ecologies often comprise a large number of envi- ronmental sensors and actuators, that, on the other hand, operate by means of their proper standards, among which ZigBee is one of the most widely used. Being designed to build autonomous sensor networks, the use of sensors based on ZigBee requires a deep knowledge of its logic and protocols. In order to facilitate interoperability between ZigBee sen- sors and external applications we designed ZB4O, an application-level gateway that exports ZigBee services in external networks. This paper describes the experience of integration of ZB4O and ZigBee networks within the robotic ecology GiraffPlus which is being developed within the EU project GiraffPlus.

The goal of universAAL is defining and implementing a reference architecture and platform for AAL applications that becomes widely accepted in the whole AAL community, and to define and realize on such platform a number of services that prove its validity and open business opportunities. To do that, it is essential that the universAAL architecture, platform, and services are supported by communities of different stakeholders (ranging from developers to industries, service providers, end users, etc.) that guarantee a development of universAAL even after the end of the project. For this reason universAAL implements tasks that realize specific community building strategies for different sets of stakeholders (such as tasks 8.1, 8.2, and 8.4). The EvAAL competition (Evaluating AAL Systems through Competitive Benchmarking), which is implemented in Task 8.5 and described in this deliverable, supports the community building activities. In fact, EvAAL has the role of expanding the community and attracting stakeholders around the universAAL architecture and platform. The evaluation and comparison of complex AAL systems is still far from being a reality, this implies that, at the present, the universAAL architecture and platform can hardly be compared with other solutions, and thus even the impact of new solutions and strategies to be adopted in the universAAL development can hardly be evaluated. EvAAL aims at advancing the state of the art in the evaluation and comparison of AAL platforms and architectures. In particular, one of the goals of the EvAAL competition is to generate an environment in which the researchers, students, and even industries can compare their solutions and exchange ideas on which such comparisons may become feasible. For this reason, EvAAL adopts a step by step approach, by dividing the problem into smaller pieces. First, it promotes competitions on specific topics in order to create a large data set and to create benchmarks and evaluation methodologies, then EvAAL will be able to evaluate and compare more complex (and even complete) AAL solutions. From the point of view of WP 2, 3, and 4, (development work package of universAAL) the creation of data sets, benchmarks, and evaluation methodologies, achieved by EvAAL, will become the mean to evaluate the quality of their findings, thus EvAAL results are also inputs for the validation work package (WP5). Moreover, EvAAL will also promote the use of the universAAL platform since it will base the benchmarking and evaluation of competing artefacts on the tools and platform developed in WP2 and WP3.

Specification of consolidated requirements coming from original projects and identification of new requirements not taken into account before. The deliverable will include: A consolidated version of Technical Requirements for AAL systems, a list of functional and non-functional requirements to be taken into account in the reference architecture and a glossary of Technical concepts.

One problem which slows down the creation of the AAL market is fragmentation of research efforts and the lack of a standardised approach for developers. To address this, we founded the AALOA (AAL Open Association). The vision of AALOA is to create a ecosystem for the domain of assistive technology for independent living. Community building activities as well as the hosting of AAL related projects like EvAAL and several open source software projects1 has been used to attract different stakeholders of the AAL community. Two main initiatives for the AALOA community building and promotion of the idea among all stakeholder groups has been brought forth so far. The AMB11 workshop, organised together with the eInclusion unit of the EC and the Lecce Declaration, which gained support from 44 projects mostly at the EU level.

D3.1: An integrated development environment providing UML design editors and traditional code editors adapted to universAAL architecture and processes D3.2: A set of metamodels, transformation scripts and code generation scripts to be used in the tools from T3.1 D3.3: A set of plug-ins and configurations that can be loaded into the tools from T3.1 to validate design and execute tests required for universAAL conformance

Deliverable 1.2 defines and presents the universAAL Reference Architecture Requirements and the process of requirements collection and consolidation. In universAAL, reference architecture requirements drive the development of universAAL's reference and concrete architecture that are described and defined in D1.3 "universAAL Reference Architecture". Requirements act as the central point of reference in software development like a contract between the involved parties. In essence, they capture the functional and non-functional expectations from the tar- get system, on one side, and the general concerns of users and stakeholders that deal with the system, on the other side. Hence, requirements glue the concerns defined by users to the target system that is implemented by the developers. As a consequence, at the very end of software development, the success of a software system or application is measured according to its compliance to the requirements. The universAAL consortium has agreed on using the ARCADE architecture development framework1 to guide development of the universAAL reference architecture in WP1. Developing the architecture according to the ARCADE approach enhances architectural consistency, enables integration of other systems and ensures that concerns and requirements of stakeholders are properly acknowledged. Considering the ARCADE method, this deliverable will present the Requirements View on the universal architecture. ARCADE's Requirement Viewpoint specifies two models for identifying and specifying requirements: the Requirement Model and the Target System Interface Model. Consequently, D1.2 specifies these two models.

One problem which slows down the creation of the AAL market is fragmentation of research efforts and the lack of a standardised approach for developers. To address this, we founded the AALOA (AAL Open Association). The vision of AALOA is to create a ecosystem for the domain of assistive technology for independent living. Community building activities as well as the hosting of AAL related projects like EvAAL and several open source software projects1 has been used to attract different stakeholders of the AAL community. Two main initiatives for the AALOA community building and promotion of the idea among all stakeholder groups has been brought forth so far. The AMB11 workshop, organised together with the eInclusion unit of the EC and the Lecce Declaration, which gained support from 44 projects mostly at the EU level.

Deliverable 9.2 is created in the scope of WP 9, Dissemination and Exploitation. This work package aims at disseminating the universAAL project objectives and results. Thereby, awareness about the benefits of ambient assisted living (AAL) in general, and universAAL in particular, shall be created for all relevant stakeholders. The objectives of this work package are: . To effectively plan and organize exploitation of universAAL results . To effectively disseminate universAAL achievements This document presents the achievements of the work on dissemination regarding generic dissemination plans. Specifically, this document includes the following: -Dissemination policy and goals -Target groups -Dissemination activities -Dissemination of the AALOA community -Dissemination monitoring and evaluation -Individual approach for each partner The section "Dissemination policy and goals" describes the guidelines and protocols developed and adopted for spreading out the awareness of universAAL project, specially focusing on commercial and scientific dissemination. The purpose of the chapter "Target Groups" is to identify main dissemination target groups, to describe their interests and to specify methods to address these interests. "Dissemination activities" describes initiatives and strategies taken with the aim of spreading out the project. The AALOA community is a key element to guarantee the acceptance of universAAL results and their adoption after the end of the project. A section of this document is dedicated to the dissemination of the AALOA community. Dissemination monitoring and evaluation is needed in order to track the number and quality of dissemination activities throughout the whole project, as well as throughout individual partners. This section introduces the required templates and establishes the approach toward dissemination consisting of regular updates and evaluation of the templates by a group of experts. Finally, this document presents the individual dissemination plans for each partner of the universAAL consortium.

Deliverable 9.1 is created in the scope of WP 9, Dissemination and Exploitation. This work package aims at disseminating the universAAL project objectives and results. Thereby awareness about the benefits of ambient assisted living (AAL) in general and universAAL in particular shall be created for all relevant stakeholders. The objectives of this work package are: . Effectively plan and organize exploitation of universAAL results . Effectively disseminate universAAL achievements This document presents the achievements of the work on dissemination regarding generic dissemination material that is produced for the project as a whole. Specifically this includes the following: . universAAL website (www.universaal.org) . AALOA website . universAAL brochure (a two sided DIN A4 inlay for presentation folders giving the basic project information) . universAAL leaflet (a small 6 sided handout giving the basic project information) . General project presentation . PowerPoint template . Newsletter The universAAL website is the main starting point for people interested in the project. It describes the project objectives, related news and events, as well as providing detailed information of the different project parts. It includes links to and information about the universAAL developer depot and the uStore. Additionally the AALOA website is maintained by the universAAL consortium within the project runtime, a work shared by work packages 8 & 9. The plan is to move the site to AALOA once the project is concluded. The universAAL leaflet and brochure give a general overview of the project and are intended for being handed out at conferences and exhibitions. In order to enable a consistent dissemination WP9 furthermore provides a generic PowerPoint template that is to be used for all project related presentations, as well as a general universAAL presentation that is intended to streamline the introduction to the project on certain events and accordingly help the different presenters.

This document reports on the first prototype of the system deployed and installed at month 12 in the pilot apartment A?ngen in O?rebro. It is an integration of the information already reported in the Deliverable 5.1 which describes the preliminary technological integration achieved at month 9. In addition to that deliverable this document provides a refinement of the initial system architecture according the feedback obtained during the implementation phase, and updates the status of development of the WP2. An analysis of security and privacy requirements regarding collecting, processing and transferring of personal information is also presented. Currently the prototype includes the Giraff robot, the Look4Myhealth kit, the monitoring sensors from Tunstall, additional environmental sensors, a physiological sensor for pulse oximetry measurements based on Android, the context recognition and configuration planning modules, and the remote storage and repository to collect user data. An initial version of the middleware is also present. The final version of the middleware will be available at month 18 (Deliverable D2.2) when the development of the several modules composing the system is more mature and all the technical requirements completed.

The GiraffPlus project aims at developing a system that addresses the above challenges. The system consists of a network of home sensors which e.g. are measuring blood pressure or detecting if someone falls off a chair. The data is then interpreted in terms of activities, health and well-being, such as if the person is relaxed or need to go to bed. Events can trigger alerts or reminders to a healthcare provider, or be analyzed by a healthcare professional. A telepresence robot, Giraff, can be moved around in the home of someone who is online via the Internet, e.g. a caregiver or family member, and helps the user to keep their social connections alive. The GiraffPlus project aims to contribute to a reduction in healthcare costs as many health ailments can be addressed in an early stage of on-set. For the elderly, the concept presented in this proposal provides a tool to address concerns about isolation and safety by encouraging social contact and thereby increasing quality of life and possibilities to prolong independent living. For the caregiver, the specific technologies developed in this project allow for continuous information about the status of the elderly, encourage a meaningful interaction concerning patient well-being, enable timely involvement, provide time effective care and not least lead to economical savings.