Distributed Tracking System for Patients with Cognitive Impairments

Laiseca, Xabier; Castillejo, Eduardo; Orduña, Pablo; Gómez-Goiri, Aitor; López-de-Ipiña, Diego; Aguado, Ester González

doi:10.1007/978-3-642-21303-8_7

Cited by 5 publications

(4 citation statements)

References 6 publications

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“…As part of the ACROSS project, a joint effort between the ABAT hospital, M-Bot Solutions and the University of Deusto was developed to assist therapists [7,8]. This scenario is not going to be presented in detail since the focus is to provide certain context to explain the solution discussed in this contribution.…”

Section: Initial Scenariomentioning

confidence: 99%

“…As Section 2 of this contribution details, the motivation of this research is indeed based on a real experiment developed as part of the ACROSS http://www.acrosspse.com/ project, already published in the literature [7,8], where a robot assisted healthcare providers in a health center by interacting with the patient and archiving the measurements taken to enable future analysis by therapists. While the use case provides the motivation and a clear scenario, its final application is outside the scope of this contribution.…”

Section: Introductionmentioning

confidence: 99%

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Semantic Framework for Social Robot Self-Configuration

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Healthcare environments, as many other real world environments, present many changing and unpredictable situations. In order to use a social robot in such an environment, the robot has to be prepared to deal with all the changing situations. This paper presents a robot self-configuration approach to overcome suitably the commented problems. The approach is based on the integration of a semantic framework, where a reasoner can take decisions about the configuration of robot services and resources. An ontology has been designed to model the robot and the relevant context information. Besides rules are used to encode human knowledge and serve as policies for the reasoner. The approach has been successfully implemented in a mobile robot, which showed to be more capable of solving situations not pre-designed.

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Section: Initial Scenariomentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Semantic Framework for Social Robot Self-Configuration

Azkune

Orduña

Laiseca

et al. 2013

Sensors

Self Cite

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“…ICTs can provide people with facilities related to communication, stimulation and environmental control. Laiseca et al put into practice the Ambient Assisted Living (AAL) concept to assist elderly people with cognitive disabilities, by using memory games that facilitate information to caregivers and relatives [ 4 ]. Data driven information provided by users or the utilization of sensor-based recognition helps support activity recognition capabilities.…”

Section: Introductionmentioning

confidence: 99%

Integration of Multisensor Hybrid Reasoners to Support Personal Autonomy in the Smart Home

Valero

Bravo

García‐Chamizo

et al. 2014

Sensors

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The deployment of the Ambient Intelligence (AmI) paradigm requires designing and integrating user-centered smart environments to assist people in their daily life activities. This research paper details an integration and validation of multiple heterogeneous sensors with hybrid reasoners that support decision making in order to monitor personal and environmental data at a smart home in a private way. The results innovate on knowledge-based platforms, distributed sensors, connected objects, accessibility and authentication methods to promote independent living for elderly people. TALISMAN+, the AmI framework deployed, integrates four subsystems in the smart home: (i) a mobile biomedical telemonitoring platform to provide elderly patients with continuous disease management; (ii) an integration middleware that allows context capture from heterogeneous sensors to program environment's reaction; (iii) a vision system for intelligent monitoring of daily activities in the home; and (iv) an ontologies-based integrated reasoning platform to trigger local actions and manage private information in the smart home. The framework was integrated in two real running environments, the UPM Accessible Digital Home and MetalTIC house, and successfully validated by five experts in home care, elderly people and personal autonomy.

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“…Laiseca et al showed the utilization of these technologies to assist the elderlies with cognitive disabilities by using memory games that facilitate information to caregivers and relatives [4]. Activity recognition can be triggered both from data driven information provided by users or through the utilization of sensor-based recognition.…”

mentioning

confidence: 99%

A Knowledge Based Framework to Support Active Aging at Home Based Environments

Valero

Bravo

García

et al. 2013

Ambient Assisted Living and Active Aging

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Abstract. Information and Communication Technologies can support ActiveAging strategies in a scenario like the Smart Home. This paper details a person centered distributed framework, called TALISMAN+, whose aim is to promote personal autonomy by taking advantage of knowledge based technologies, sensors networks, mobile devices and internet. The proposed solution can support an elderly person to keep living alone at his house without being obliged to move to a residential center. The framework is composed by five subsystems: a reasoning module that is able to take local decisions at home in order to support active aging, a biomedical variables telemonitorisation platform running on a mobile device, a hybrid reasoning middleware aimed to assess cardiovascular risk in a remote way, a private vision based sensor subsystem, and a secure telematics solution that guarantees confidentiality for personal information. TALISMAN+ framework deployment is being evaluated at a real environment like the Accessible Digital Home.

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Distributed Tracking System for Patients with Cognitive Impairments

Cited by 5 publications

References 6 publications

Semantic Framework for Social Robot Self-Configuration

Semantic Framework for Social Robot Self-Configuration

Integration of Multisensor Hybrid Reasoners to Support Personal Autonomy in the Smart Home

A Knowledge Based Framework to Support Active Aging at Home Based Environments

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