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Conference

Location- and Context-Awareness 

About: Location- and Context-Awareness is an academic conference. The conference publishes majorly in the area(s): Ubiquitous computing & Context (language use). Over the lifetime, 99 publications have been published by the conference receiving 3550 citations.

Papers published on a yearly basis

Papers
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Book ChapterDOI
12 May 2005
TL;DR: This paper presents a robust, decentralized approach to RFbased location tracking based on low-power radio transceivers coupled with a modest amount of computation and storage capabilities, and presents a detailed analysis of MoteTrack’s performance under a wide range of conditions.
Abstract: In this paper, we present a robust, decentralized approach to RF-based location tracking. Our system, called MoteTrack, is based on low-power radio transceivers coupled with a modest amount of computation and storage capabilities. MoteTrack does not rely upon any back-end server or network infrastructure: the location of each mobile node is computed using a received radio signal strength signature from numerous beacon nodes to a database of signatures that is replicated across the beacon nodes themselves. This design allows the system to function despite significant failures of the radio beacon infrastructure. In our deployment of MoteTrack, consisting of 20 beacon nodes distributed across our Computer Science building, we achieve a 50th percentile and 80th percentile location-tracking accuracy of 2 meters and 3 meters respectively. In addition, MoteTrack can tolerate the failure of up to 60% of the beacon nodes without severely degrading accuracy, making the system suitable for deployment in highly volatile conditions. We present a detailed analysis of MoteTrack's performance under a wide range of conditions, including variance in the number of obstructions, beacon node failure, radio signature perturbations, receiver sensitivity, and beacon node density.

375 citations

Book ChapterDOI
20 Sep 2007
TL;DR: The proposed taxonomy has been constructed from a literature study of 51 papers and articles about LF and can be used as an aid when scoping out future research in the area of LF.
Abstract: Location Fingerprinting (LF) is a promising location technique for many awareness applications in pervasive computing. However, as research on LF systems goes beyond basic methods there is an increasing need for better comparison of proposed LF systems. Developers of LF systems are also lacking good frameworks for understanding different options when building LF systems. This paper proposes a taxonomy to address both of these problems. The proposed taxonomy has been constructed from a literature study of 51 papers and articles about LF. For researchers the taxonomy can also be used as an aid when scoping out future research in the area of LF.

203 citations

Book ChapterDOI
20 Sep 2007
TL;DR: This work records a realistic 10h data set and analyzes the performance of four different algorithms for the recognition of both low- and high-level activities, and suggests that the Recognition of high- level activities can be achieved with the same algorithms as therecognition of low-level Activities.
Abstract: High-level and longer-term activity recognition has great potentials in areas such as medical diagnosis and human behavior modeling. So far however, activity recognition research has mostly focused on lowlevel and short-term activities. This paper therefore makes a first step towards recognition of high-level activities as they occur in daily life. For this we record a realistic 10h data set and analyze the performance of four different algorithms for the recognition of both low- and high-level activities. Here we focus on simple features and computationally efficient algorithms as this facilitates the embedding and deployment of the approach in real-world scenarios. While preliminary, the experimental results suggest that the recognition of high-level activities can be achieved with the same algorithms as the recognition of low-level activities.

172 citations

Book ChapterDOI
12 May 2005
TL;DR: In this article, the authors identify the common techniques and technologies that are enabling location identification in a ubiquitous computing environment and address the important parameters for evaluating such systems, and explore the current trends in commercial products and research in the area of localization.
Abstract: In this paper we identify the common techniques and technologies that are enabling location identification in a ubiquitous computing environment. We also address the important parameters for evaluating such systems. Through this survey, we explore the current trends in commercial products and research in the area of localization. Although localization is an old concept, further research is needed to make it really usable for ubiquitous computing. Therefore, we indicate future research directions and address localization in the framework of our Smart Surroundings project.

170 citations

Book ChapterDOI
Annie Chen1
12 May 2005
TL;DR: A context-aware collaborative filtering system that predicts a user's preference in different context situations based on past experiences and can help predict the user's behavior in different situations without the user actively defining it is presented.
Abstract: In this paper we present a context-aware collaborative filtering system that predicts a user's preference in different context situations based on past experiences. We extend collaborative filtering techniques so that what other like-minded users have done in similar context can be used to predict a user's preference towards an activity in the current context. Such a system can help predict the user's behavior in different situations without the user actively defining it. For example, it could recommend activities customized for Bob for the given weather, location, and traveling companion(s), based on what other people like Bob have done in similar context.

160 citations

Performance
Metrics
No. of papers from the Conference in previous years
YearPapers
201314
20101
200917
200717
200618
200532