A framework for abstraction and virtualization of sensors in mobile context-aware computing

110 p.[EN] The latest mobile devices available nowadays are leading to the development of a new generation of mobile applications that are able to react to context. Context- awareness requires data from the environment, usually collected by means of sensors embedded in mobile devices or connected to them through wireless networks. Developers of mobile applications are faced with several challenges when it comes to the creation of context-aware applications. Sensor and device heterogeneity stand out among these challenges. In order to assist designers, we propose a layered conceptual framework for sensor abstraction and virtualization, called Igerri. Its main objective is to facilitate the development of context-aware applications independently of the specific sensors available in the user environment. To avoid the need to directly manage physical sensors, a layered structure of virtual and abstract sensors is conceived. Two software components, based on the proposed framework, have been designed in order to test Igerris robustness. The first one processes the information from the successive sensor layers and generates high-level context information. The second is responsible for managing network aspects and real time settings. This implementation has been tested using a representative context-aware application in different scenarios. The results obtained show that the implementation, and therefore the conceptual framework, is suitable for dealing with context information and hiding sensor programming.[EU] Gaur egungo gailu mugikor puntakoenek inguruneari erantzuteko gai diren aplikazio mugikorren garapenean oinarritzen dira. Testuingurua nabaritzeko ingurunearen informazioa behar da, zeina gailu mugikorretan txertatutako sentsoreen edo haririk gabeko sareen bitartez biltzen den. Aplikazio mugikorren garatzaileek erronka askori aurre egin behar izaten diete testuingurua kontuan hartzen duten aplikazioak garatzerakoan. Erronka na- gusien artean, sentsoreen eta gailuen heterogeneotasuna izaten dira. Garatzaileei laguntzeko asmoz, Igerri izeneko sentsoreen abstrakzio eta birtualizaziorako marko kontzeptual bat proposatzen dugu. Bere helburu nagusia, testuinguruaren aplikazio hautemangarrien garapena erraztea da, erabiltzailearen ingurunean dauden sentsore espezifikoak edozein direla ere. Sentsore fisikoak zuzenean ma- nipulatu behar izatea saihesteko, sentsore birtual eta abstraktuen egitura bat asmatu da. Igerri-ren sendotasuna egiaztatzeko, proposatutako markoan oinarritutako bi software osagai diseinatu dira. Lehenak, sentsore geruzen informazio geruzak prozesatu eta maila altuko testuinguru informazioa ematen du. Bigarrenak, sare aukerak kudeatu eta sentsoreen konfigurazioa denbora errealean burutzen ditu. Inplementazio hau testuingurua hautemateko gai eta adierazgarria den aplikazio batekin egoera desberdinetan frogatu da. Lortutako emaitzek erakusten dute inplementazioa, eta ondorioz marko kontzeptuala ere, aproposa dela testuinguruaren informazioa erabiltzeko eta sentsoreen programazioa ezkutatzeko.[ES] Los dispositivos móviles disponibles en la actualidad facilitan el desarrollo de una nueva generación de aplicaciones móviles que son capaces de reaccionar al contexto. La computación sensible al contexto requiere datos del entorno que normalmente se obtienen por medio de sensores embebidos en dispositivos móviles o conectados a ellos a través de redes inalámbricas. Los desarrolladores de aplicaciones móviles se enfrentan a varios retos para crear aplicaciones sensibles al contexto. Entre estos retos destaca la necesidad de tratar la heterogeneidad de los sensores y de los dispositivos móviles. Con el fin de ayudar a los desarrolladores, esta tesis propone un marco conceptual para la abstracción multinivel y la virtualización de sensores, llamado Igerri. Su principal objetivo es facilitar el desarrollo de aplicaciones sensibles al contexto independientemente de los sensores específicos que se encuentren en el entorno. Para evitar la necesidad de manipular directamente los sensores físicos, se ha concebido una estructura multinivel de sensores virtuales y abstractos. Se han diseñado dos componentes software basados en el marco propuesto para comprobar la robustez de Igerri. El primero procesa la información de la estructura multinivel de sensores y genera información de contexto de alto nivel. El segundo es responsable de administrar, en tiempo real, las opciones de red y la configuración de los sensores. Esta implementación ha sido probada en diferentes escenarios usando una aplicación representativa y sensible al contexto. Los resultados obtenidos muestran que la implementación, y por tanto el marco conceptual que le da soporte, es adecuada para tratar la información de contexto y ocultar los problemas de programación de los sensores.Borja Gamecho held a PhD scholarship from the Research Staff Training Programme of the Basque Government from 2011 to 2014. This work also has been supported by the Department of Education, Universities and Research of the Basque Government under Grant IT395-10, by the Ministry of Economy and Competitiveness of the Spanish Government and by the European Regional Development Fund (project TIN2014-52665-C2-1)

A context-aware application to increase elderly users compliance with physical rehabilitation exercises at home via animatronic biofeedback

Biofeedback from physical rehabilitation exercises has proved to lead to faster recovery, better outcomes, and increased patient motivation. In addition, it allows the physical rehabilitation processes carried out at the clinic to be complemented with exercises performed at home. However, currently existing approaches rely mostly on audio and visual reinforcement cues, usually presented to the user on a computer screen or a mobile phone interface. Some users, such as elderly people, can experience difficulties to use and understand these interfaces, leading to non-compliance with the rehabilitation exercises. To overcome this barrier, latest biosignal technologies can be used to enhance the efficacy of the biofeedback, decreasing the complexity of the user interface. In this paper we propose and validate a context-aware framework for the use of animatronic biofeedback, as a way of potentially increasing the compliance of elderly users with physical rehabilitation exercises performed at home. In the scope of our work, animatronic biofeedback entails the use of pre-programmed actions on a robot that are triggered in response to certain changes detected in the users biomechanical or electrophysiological signals. We use electromyographic and accelerometer signals, collected in real time, to monitor the performance of the user while executing the exercises, and a mobile robot to provide animatronic reinforcement cues associated with their correct or incorrect execution. A context-aware application running on a smartphone aggregates the sensor data and controls the animatronic feedback. The acceptability of the animatronic biofeedback has been tested on a set of volunteer elderly users, and results suggest that the participants found the animatronic feedback engaging and of added value

Accessible Ubiquitous Services for Supporting Daily Activities: A Case Study with Young Adults with Intellectual Disabilities

Ubiquitous environments have considerable potential to provide services supporting daily activities (using public transportation to and from workplace, using ATM machines, selecting and purchasing goods in ticketing or vending machines, etc.) in order to assist people with disabilities. Nevertheless, the ubiquitous service providers generally supply generic user interfaces which are not usually accessible for all potential end users. In this article, a case study to verify the adequacy of the user interfaces automatically generated by the Egoki system for two supporting ubiquitous services adapted to young adults with moderate intellectual disabilities was presented. The task completion times and the level of assistance required by participants when using the interfaces were analyzed. Participants were able to access services through a tablet and successfully complete the tasks, regardless of their level of expertise and familiarity with the service. Moreover, results indicate that their performance and confidence improved with practice, as they required fewer direct verbal and pointer cues to accomplish tasks. By applying observational methods during the experimental sessions, several potential improvements for the automated interface generation process were also detected.This research work was supported by the Ministry of Economy and Competitiveness of the Spanish Government and by the European Regional Development Fund [projects TIN2014-52665-C2-1-R and TIN2017-85409-P], and by the Basque Government, Department of Education, Universities and Research under grant [IT980-16]

DAFIESKU: A System for Acquiring Mobile Physiological Data

Gathering physiological data when they are performing experiments requires a great effort from researchers. Very often, a considerable time is required to prepare the signal acquisition equipment, conduct the experiments, and properly label the data of each participant. Nevertheless this data is valuable for the analysis of personal characteristics, such as behavior, health conditions, and preferences. With the aim of assisting researchers with such tedious tasks, we have developed the DAFIESKU system. This system serves to acquire several types of physiological data. DAFIESKU facilitates the creation of new datasets with physiological data by means of mobile and wearable devices. The usability of the system was evaluated in two case studies in a two-step iterative process. Before conducting the second case study, the whole system was improved using the feedback obtained from the first case study. The results achieved show that usability was enhanced in the second version of DAFIESKU

Model-Based Accessible User Interface Generation in Ubiquitous Environments

Part 1: Long and Short PapersInternational audienceThis paper presents a system that automatically generates accessible interfaces tailored to the users’ capabilities and needs in order to provide them with access to ubiquitous computing environments. The aim is to ensure that people with disabilities are able to use ubiquitous services provided by intelligent machines, such as ATMs and vending machines. The tailored interfaces are generated from a formal description specified by a User Interface Description Language, and based on user and context models represented by ontologies