Browsing by Keyword "Ambient intelligence"
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Item Affect-aware behaviour modelling and control inside an intelligent environment(2010-10) Leon, Enrique; Clarke, Graham; Callaghan, Victor; Doctor, Faiyaz; Tecnalia Research & InnovationThe evidence suggests that human actions are supported by emotional elements that complement logic inference in our decision-making processes. In this paper an exploratory study is presented providing initial evidence of the positive effects of emotional information on the ability of intelligent agents to create better models of user actions inside smart-homes. Preliminary results suggest that an agent incorporating valence-based emotional data into its input array can model user behaviour in a more accurate way than agents using no emotion-based data or raw data based on physiological changes.Item A "context evaluator" model for a multimodal user interface in driving activity(2011) Murgoitio, Jesús; Urquiza, Arkaitz; Larburu, Maider; Sánchez, Javier; CCAM; ROBOTICA_FLEX; POWERTRAIN; Tecnalia Research & InnovationFocused on new HMI for vehicles, this paper explains the methodology followed by Tecnalia to provide an evaluation of the context, based on sensors data, in order to achieve the optimum usability and ubiquity levels at any given moment, and finally to optimize the driving task from the safety point of view. The paper is divided into three sections. Firstly, there is an introduction in which the main concepts, multimodality and Ambient intelligence, are explained (section 1), and this is followed by the two projects related to the work shown here (section 2). In section 3 we will go on to describe the methodology used to obtain an evaluation of the context, as is necessary for a car HMI with multimodal capabilities. Finally, a particular "Context evaluator" is displayed in order to illustrate the methodology and report the work carried out.Item FTT-MA: A flexible time-triggered middleware architecture for time sensitive, resource-aware AmI systems(2013-05) Noguero, Adrián; Calvo, Isidro; Pérez, Federico; Almeida, Luis; Tecnalia Research & InnovationThere is an increasing number of Ambient Intelligence (AmI) systems that are time-sensitive and resource-aware. From healthcare to building and even home/office automation, it is now common to find systems combining interactive and sensing multimedia traffic with relatively simple sensors and actuators (door locks, presence detectors, RFIDs, HVAC, information panels, etc.). Many of these are today known as Cyber-Physical Systems (CPS). Quite frequently, these systems must be capable of (1) prioritizing different traffic flows (process data, alarms, non-critical data, etc.), (2) synchronizing actions in several distributed devices and, to certain degree, (3) easing resource management (e.g., detecting faulty nodes, managing battery levels, handling overloads, etc.). This work presents FTT-MA, a high-level middleware architecture aimed at easing the design, deployment and operation of such AmI systems. FTT-MA ensures that both functional and non-functional aspects of the applications are met even during reconfiguration stages. The paper also proposes a methodology, together with a design tool, to create this kind of systems. Finally, a sample case study is presented that illustrates the use of the middleware and the methodology proposed in the paper.Item Intelligent environments and e-health assistance for aging citizens, the AmIE project(2009) Iturburu, Miren; Gómez De Segura, Nuria; Lozano, Sara; Ruíz, Ricardo; Martínez, Alberto; Acinas, Víctor; De Las Heras, Ricardo; Medical TechnologiesAmIE is an intelligent and innovative system that offers to the elderly people a new way of giving advice on healthy habits and monitoring their health status and daily habits in order to prevent potential problems and diseases, as for example the obstructive sleep apnea, and to help them remain healthy for a longer time. Among the AmIE's innovative aspects there is the use of multimodal interfaces depending on the location of the user, information that will be provided by an indoor location system, and also the profile of the user.Item Non-Invasive Ambient Intelligence in Real Life: Dealing with Noisy Patterns to Help Older People: Dealing with noisy patterns to help older people(2019-07-02) Antón, Miguel Ángel; Ordieres-Meré, Joaquín; Saralegui, Unai; Sun, Shengjing; DIGITALIZACIÓN Y AUTOMATIZACIÓN DE LA CONSTRUCCIÓN; Tecnalia Research & InnovationThis paper aims to contribute to the field of ambient intelligence from the perspective of real environments, where noise levels in datasets are significant, by showing how machine learning techniques can contribute to the knowledge creation, by promoting software sensors. The created knowledge can be actionable to develop features helping to deal with problems related to minimally labelled datasets. A case study is presented and analysed, looking to infer high-level rules, which can help to anticipate abnormal activities, and potential benefits of the integration of these technologies are discussed in this context. The contribution also aims to analyse the usage of the models for the transfer of knowledge when different sensors with different settings contribute to the noise levels. Finally, based on the authors’ experience, a framework proposal for creating valuable and aggregated knowledge is depicted.Item Smart Meeting Room Usage Information and Prediction by Modelling Occupancy Profiles(2019-01-02) Saralegui, Unai; Antón, Miguel; Arbelaitz, Olatz; Muguerza, Javier; Tecnalia Research & Innovation; DIGITALIZACIÓN Y AUTOMATIZACIÓN DE LA CONSTRUCCIÓNThe monitoring of small houses and rooms has become possible due to the advances in IoT sensors, actuators and low power communication protocols in the last few years. As buildings are one of the biggest energy consuming entities, monitoring them has great interest for trying to avoid non-necessary energy waste. Moreover, human behaviour has been reported as being the main discrepancy source between energy usage simulations and real usage, so the ability to monitor and predict actions as opening windows, using rooms, etc. is gaining attention to develop stronger models which may lead to reduce the overall energy consumption of buildings, considering buildings thermal inertia and additional capabilities. In this paper, a case study is described in which four meeting rooms have been monitored to obtain information about the usage of the rooms and later use it to predict their future usage. The results show the possibility to deploy a simple and non-intrusive sensing system whose output could be used to develop advanced control strategies.Item Using virtual reality for gesture and vocal interface validation in industrial environments(2007) De Segura, José Daniel Gómez; Peral, Rosa; Sillaurren, Sara; Garrote, Estíbaliz; Sierra, Basilio; WEATHER AND CLIMATE INTELLIGENCE FOR BUSINESS; Tecnalia Research & Innovation; ADV_INTER_PLAT; QuantumThis paper describes the use of Virtual Reality to aid in the design, validation and user training of a gesture and vocal interface. The interface system sends commands to a container crane, substituting the onboard operator. The virtual scenario communicates also with a Potential Risk Intelligent Control, which can take over in case of emergency. This work corresponds to an ongoing research project.