Context awareness

About: Context awareness is a research topic. Over the lifetime, 5790 publications have been published within this topic receiving 119944 citations.

OntCAAC: An Ontology-Based Approach to Context-Aware Access Control for Software Services

Abstract: In modern communication environments, the ability to provide access control to services in a context-aware manner is crucial. By leveraging the dynamically changing context information, we can achieve context-specific control over access to services, better satisfying the security and privacy requirements of the stakeholders. In this paper, we introduce a new Context-Aware Access Control (CAAC) Framework that adopts an ontological approach in modelling dynamic context information and the corresponding CAAC policies. It includes a context model specific to access control, capturing the relevant low-level context information and inferring the high-level implicit context information. Using the context model, the policy model of the framework provides support for specifying and enforcing CAAC policies. We have developed a prototype and presented a healthcare case study to realise the framework.

Adaptation des applications au contexte en utilisant les services web

Abstract: The SECAS Project (Simple Environment for Context Aware Systems) is interested in the adaptation of applications to the context (preferences and environment of the user, used terminal ...). We aim to develop a platform which makes the data, the services and the user interface of applications adaptable to the various context situations. In this domain, researches have concentrated on how to capture context data and to carry it to the application. Our work focuses on the impact of context on the application. In this paper, we present the architecture of SECAS, a new definition of the context, our adaptation strategy and a case of study in the medical field.

Audio sound event identification for distress situations and context awareness

Abstract: In this paper the acoustic event detection and classification (AED/AEC) system developed under European Community's Seventh Framework Companionable project in awareness context is presented. The system relies on the use of Wavelet transform technique for detection and on an unsupervised order estimation of Gaussian mixture model (GMM) arranged in hierarchical form in the aim to improve the recognition accuracy. The results, measured in terms of two metrics (accuracy and error rate) are obtained applying the implemented system in off-line mode of audio analysis form of distress scenarios recorded in this fact.

A Platform for Context Aware Runtime Web Service Discovery

Abstract: In this paper we describe a platform that supports context aware runtime service discovery. The platform supports service discovery based on structural and behavioural service models as well as complex context related service discovery conditions which are specified in a newly introduced query language. During discovery, context information is obtained through a uniform scheme of calling "context operations" and is subsequently used in the evaluation of service discovery queries.

Posture Monitoring System for Context Awareness in Mobile Computing

Abstract: The posture of a user is one of the contextual information that can be used for mobile applications and the treatment of idiopathic scoliosis. This paper describes a method for monitoring the posture of a user during operation of a mobile device in three activities such as sitting, standing, and walking. The user posture monitoring system (UPMS) proposed in this paper is based on two major technologies. The first involves a tilt-angle measurement algorithm (TAMA) using an accelerometer. Unlike most previous studies, it is based on a relative computation using the dot product from the time-series acceleration data. Because TAMA does not require a physical calibration by a user, it is more robust and accurate compared to other methods that rely on absolute computations. The second technology is an effective signal-processing method that eliminates the motion acceleration component of the accelerometer signal using a second-order Butterworth low-pass filter (SLPF). Because the posture of a user is only related to the gravity acceleration component, the motion acceleration components should be removed. The TAMA and UPMS are implemented on a personal digital assistant (PDA). They are evaluated to verify the possibility of application to a mobile device. Additionally, a posture-based intelligent control interface in context-aware computing that reacts to the posture of a PDA user is implemented on the PDA to complement the poor user interface (UI) of the mobile device, and its results are presented.