Topic
Context awareness
About: Context awareness is a research topic. Over the lifetime, 5790 publications have been published within this topic receiving 119944 citations.
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Proceedings Article•
01 Sep 2003TL;DR: The approach for automatically sensing and recognising noise from typical environments of daily life, such as office, car and city street, is described and the hidden Markov model based noise classifier is presented.
Abstract: Context-awareness is essential to the development of adaptive information systems. Environmental noise can provide a rich source of information about the current context. We describe our approach for automatically sensing and recognising noise from typical environments of daily life, such as office, car and city street. In this paper we present our hidden Markov model based noise classifier. We describe the architecture of the system, compare classification results from the system with human listening tests, and discuss open issues in environmental noise classification for mobile computing.
80 citations
TL;DR: In this article, the authors present a theoretical framework based on general human-machine system research for adding context awareness to a BCI system, which allows access to the covert aspect of user state related to the perceived loss of control.
Abstract: Brain-computer interface (BCI) systems are usually applied in highly controlled environments such as research laboratories or clinical setups. However, many BCI-based applications are implemented in more complex environments. For example, patients might want to use a BCI system at home, and users without disabilities could benefit from BCI systems in special working environments. In these contexts, it might be more difficult to reliably infer information about brain activity, because many intervening factors add up and disturb the BCI feature space. One solution for this problem would be adding context awareness to the system. We propose to augment the available information space with additional channels carrying information about the user state, the environment and the technical system. In particular, passive BCI systems seem to be capable of adding highly relevant context information-otherwise covert aspects of user state. In this paper, we present a theoretical framework based on general human-machine system research for adding context awareness to a BCI system. Building on that, we present results from a study on a passive BCI, which allows access to the covert aspect of user state related to the perceived loss of control. This study is a proof of concept and demonstrates that context awareness could beneficially be implemented in and combined with a BCI system or a general human-machine system. The EEG data from this experiment are available for public download at www.phypa.org.
80 citations
TL;DR: This special issue showcases papers that describe recent research that addresses the challenges of location sensing more robust, accurate, deployable, secure, and developer-friendly.
Abstract: Today, location information is in the hands of the masses. The success of location in pervasive computing has exposed new challenges and opportunities for researchers including making location sensing more robust, accurate, deployable, secure, and developer-friendly. This special issue showcases papers that describe recent research that addresses these challenges.
80 citations
04 Apr 2005
TL;DR: This paper overviews different characteristics of context in order to develop a clear understanding of context, as well as its implications and requirements for context-aware data management.
Abstract: In response to the advance of ubiquitous computing technologies, we believe that for computer systems to be ubiquitous, they must be context-aware. In this paper, we address the impact of context-awareness on ubiquitous data management. To do this, we overview different characteristics of context in order to develop a clear understanding of context, as well as its implications and requirements for context-aware data management. References to recent research activities and applicable techniques are also provided.
80 citations
TL;DR: This work proposes the use of Fuzzy Logic theory with the purpose of determining and reasoning about the current situation of the involved user and elaborate on the architectural model that enables the system to assume actions autonomously according to previous user reactions and current situation.
79 citations