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Résumé

Cet article traite d'une nouvelle étape d'intégration des fonctions domotiques : confort et sécurité, qui pourrait apporter des performances accrues et une réduction des coûts d'installation. A partir de l'expérience acquise sur des projets antérieurs : ERGDOM, PROSAFE, nous focalisons notre réflexion sur l'analyse et les spécifications des caractéristiques souhaitables d'un capteur de présence générique, élément-clé pour constituer correctement la base d'apprentissage que nous préconisons à la fois pour le confort et la surveillance. Deux voies technologiques sont explorées conduisant à un produit industriel dans l'approche pyroélectrique et à un produit de laboratoire compatible dans l'approche thermoélectrique. Nous discutons enfin d'une perspective de tendance nouvelle qui est d'introduire dans l'habitat un mini-robot mobile d'assistance, dont « l'infrastructure intelligente » doit être spécifiée, pour parfaire le diagnostic et apporter les premiers secours.

Mots-Clés / Keywords

Habitat Intelligent; Confort; Sécurité; Capteurs de présences; Détection infrarouge passive; Apprentissage des habitudes; Systèmes multicapteurs; Mini-robot; Diagnosis;

Abstract

Measurement, control and monitoring systems are increasingly complex and may require various disciplinary skills. Producing such systems requires rigorous design methodology and the right tools. It is with this in mind that the design and formal verification HiLes tool [1] was developed. This methodological design and verification process was used in this work to design a complex system dedicated to the intelligent home comfort management. It is built into the system engineering process defined by EIA-632, which uses UML and SYSML standards to identify the requirements, model the control logics of the system and formally validate its dynamic properties, all in a semi-automated way. In this paper, we present the various design phases according to this method as well as the results of formal verification of the complete system dynamic behavior.

Mots-Clés / Keywords

Smart home; Complex system; Design; Model verification; UML; SysML; HiLes;

Abstract

The first developments for processing electroocculogram (EOG) signals in order to automatically score the drowsiness level of an active subject are presented. Such a tool will be used to validate drowsiness detection systems based on behavioural measurements. In addition, preliminary work on automatic drowsiness scoring by utilizing the Karolinska Drowsiness Score (KDS) is presented at the end of the paper. The originality of this blink detection algorithm is the analysis of EOG velocity based on expert rules. Our tool is applied to about 30 hours of EOGs and resulting blinks are compared with the blinks determined by visual analysis. More than 97.7 % of blinks are detected and less than 0.2 % of detected blinks are eye movements, except in two particular cases.

Mots-Clés / Keywords

Electroocculogram; Automatic blinks detection; Drowsiness detection; karolinska drowsiness score;

Abstract

In the era of information technology, the elderly and disabled can be monitored with numerous intelligent devices. Sensors can be implanted into their home for continuous mobility assistance and non-obtrusive disease prevention. Modern sensor-embedded houses, or smart houses, cannot only assist people with reduced physical functions but help resolve the social isolation they face. They are capable of providing assistance without limiting or disturbing the resident's daily routine, giving him or her greater comfort, pleasure, and well-being. This article presents an international selection of leading smart home projects, as well as the associated technologies of wearable/implantable monitoring systems and assistive robotics. The latter are often designed as components of the larger smart home environment. The paper will conclude by discussing future challenges of the domain.

Mots-Clés / Keywords

Smart home; Elderly people;

Abstract

This article presents the deployment of a continuous monitoring system for the elderly. The persons concerned live in a medicalized retirement home in a rural area. This study is part of a national experiment using satellite communication links for remote monitoring. After a brief description of the infrastructure, the paper exposes the first results obtained for help with medical diagnosis based on the subjects activity through learning his lifestyle. Some time slots are highlighted in which normality thresholds of behavior are defined. The excess of these thresholds allows reporting of a deviant behavior or a high risk situation for the subject.