Stress is a physical, mental or emotional factor that causes bodily or mental tension. It is generally recognized as one of the major factors leading to a spectrum of health problems. Therefore, people with high risks of getting stressed should be continuously monitored in order to detect any stress signs before it causes health problems. Wireless body sensor networks(WBSNs) provide opportunities to monitor stress and can provide initial treatment. In this paper, we propose an energy-efficient stress detection and evaluation framework. A WBSN deployed on the patient's body collects stress-correlated physiological signals. First, the skin conductance (SC) is analyzed. Then, if any stress signs are detected, its level is calculated via a Fuzzy Inference System (FIS) using the following vital signs: Heart Rate (HR), Respiration Rate (RR) and Systolic Blood Pressure (ABPSys). The results show that the stress evaluation was coherent with the different experimental stages the monitored person has gone through.
Ambient and mobile systems consist of networked devices and software components surrounding human users and providing services. From the services present in the environment, other services can be composed opportunistically and automatically by an intelligent system, then proposed to the user. The latter must not only to be aware of existing services but also be kept in the loop in order to both control actively the services and influence the automated decisions. This paper first explores the requirements for placing the user in the ambient intelligence loop. Then it describes our approach aimed at answering the requirements, which originality sets in the use of the model-driven engineering paradigm. It reports on the prototype that has been developed, and analyzes the current status of our work towards the different research questions that we have identified.
Ambient environments consist of components surrounding the user and offering services. Applications can here be composed opportunistically and automatically by an intelligent system that puts together available components. Thus, applications that are a priori unknown emerge from the environment. The problem is in the intelligible presentation to an average user of those emerging composite applications. Our approach consists in automatic generation of user-oriented application descriptions from unit descriptions of each component and service. For that, we propose a well-defined language for component description and a method for combining descriptions. A prototype has been developed and used to experiment the generation of different composite application descriptions. Based on these experiments, we assess the degree of fulfillment of the requirements we have identified for the problem.
Ambient intelligence aims at providing users the right services at the right time. Our solution composes software components and their services, automatically and on the fly, and makes composite services emerge from the environment. An important question is their intelligible presentation to an average user (not a service composition expert). Our approach consists in the automatic generation of user-oriented descriptions from unit descriptions of components and services. For that, we propose a domain-specific language for component and service descriptions and a combining method.
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