This work propose a remote healthcare monitoring system designed to derive elderly's activities of daily living and distress situation in Nursing Home environments through a set of pyroelectric infrared sensor placed in the rooms. We aim to infer from the nursing home environment information as the exits and entries in the room, presence of care-givers and activities as night rounds, sleeping, eating, care-giver intervention. Thank to the sensors emplacement in the present case is possible to extract patterns regarding paths performed inside the room. Based on these patterns, we propose in a first step, a finite state model that represents the behavior of only one person moving inside the room. Through accomplishing of this model, we can derive some information as resident tracking, presence of care-givers, entries and exits. In previous work we have used the Dempster-Shafer theory (DST) based on static and dynamic model called Evidential Networks [11] in order to take into account the imperfect information (uncertainty, precision and conflict) involved by the sensors data acquisition and also providing a framework allowing the fusion of multi-sensors data yielding richer and reliable information. To this aim, the imperfect information representation by DST was considered in the proposed model. Thus, degradation of the sensor signals can be considered, becoming our model most reliable. In a second step, DST can also be used to perform the data fusion of the infrared sensors with other sensors introduced in the environment [11]. The proposed algorithms were evaluated in the framework of real data recording made in a medical nursing home in France in the framework of EMonitor'age project

This presentation deals with different research axis followed by the Televigilance activity in Telecom Sudparis : a) Multi-sensors Ambulatory Terminal on Patient: Automatic Fall detector and noise-robust vital signal extraction, Alarm automatisation and context identification based on Data Fusion, Physiological and actimetric data (cardiac frequency, movements,...) Fall, posture or activity recognition, Contextual information (sounds, localisation, activity) ANASON with ESIGETEL (D. Istrate) b) Cardiac pathology detection (R. Andreao): ECG signal segmentation based on sub-beat Hidden-Markov Models, Ischemias and Arrythmias events classification, Voice-controlled man-machine interface for Elderly persons to the smart home environment with TelecomParisTech (G. Chollet, P. Milhorat) c) Activity monitoring in care-houses in collaboration with LEGRAND company (P.Dore, T. Guettari) It also enlarges the scope to other teams within the Institut Mines-Telecom group, such as the QoL (Quality Of Life) Chair (M. Mokhtari) and the HAAL project in Montpelier and Telecom Bretagne (A. Thepaut)

To improve the quality of life in nursing homes, E-monitor’age project (2012-2015) addresses the development of a monitoring system based on different types of innovating sensors and a powerful self-learning decision process. This paper gives a brief description of the project origin, concept and architecture.

In the last few years, a series of technological developments has given some new options for health monitoring system. Internet-based solutions are becoming available that allow caregivers to keep an unobtrusive, high-tech eye on elderly, ensuring that they’re safe, healthy and well cared for . In this article, we start by categorizing supervision systems and highlighting some implemented systems. Next, we describe the equipped rooms in the nursing home in which we recorded our multimodal data base so we depict PERvision platform (hardware and software part) installed in our trial site called GIS Madonah . In the next section, we expose our study of methods to clean and filter data stored trough PERvision platform and exhibit our approach to extract useful information from this recorded data. Finally, we describe a supervision system which exploits information generated by anonymous, binary sensors, particularly those employed by security systems such as motion. This monitoring software consists in analyzing human behaviors and looking for changes in their habit.

The invention relates to a device (1) which is intended to e r eduction of harmful components in the gas to exhaust from an internal combustion engine (3), in particular a diesel engine, and which comprises a pipe eXHAUST gAS (2) wherein are mounted are one behind the other in the direction of the flow of the exhaust gas an oxidation catalytic converter (5), a catalytic converter (6) producing NO2 and a filter particles (7). To avoid or at least r deduce in the catalytic converter to NO2 r a reaction as NO2 back to NO, the oxidation catalytic converter (5) is a catalytic converter r eduisant hydrocarbons and / or carbon monoxide.

The invention relates to an exhaust system and a method for purifying an exhaust gas of an internal combustion engine, especially a diesel engine, with one, arranged in an exhaust passage of an oxidation catalyst. DOLLAR A It is provided that upstream of the oxidation catalyst (16) has a device (30) for generating an ozone mass flow (m¶Ozon¶) is arranged in the exhaust passage (14) and the device (30) a control device (24) for quantitative control of the ozone mass flow (m¶Ozon¶) is assigned as a function of at least one operating parameter of the internal combustion engine (12).