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Localization is one of the principal enabling wireless services now penetrating into every aspect of our life. Unfortunately, present localization schemes are often inaccurate (based on signal-distance conversion), or energy inefficient (such as GPS), or labor intensive (requiring previous field signal data collection). In this paper, a novel localization scheme named COAL, for COntext Aware Localization,...
High level context recognition and situation detection are enabling technologies for unobtrusive mobile computing systems. Significant progress has been made in processing and managing context information, leading to sophisticated frameworks, middlewares, and algorithms. Despite great improvements, context aware systems still require a significantly increased recognition accuracy for high-level context...
In order to show both a detailed map (Focus) and a wide-area map (Context) in one map, we have proposed the Focus+Glue+Context map, a type of fisheye view for mobile maps. A problem in the Focus+Glue+Context map is that if the radius of the Focus is large, the Context area is very narrow, and if the radius of the Focus is small, we cannot show the entire target area. To solve this problem, we have...
Wireless technology has enabled the development of increasingly diverse applications and devices resulting in an exponential growth in usage and services. These advancements made the radio frequency spectrum a scarce resource, and consequently, its efficient use is of the ultimate importance. To cope with the growing demand, network design focused on increasing the spectral efficiency by making use...
Empathy has great potential in human-robot interaction. However, the challenging nature of assessing the user's emotional state points to the importance of also understanding the effects of empathic behaviours incongruent with users' affective experience. A 3??2 between-subject video-based survey experiment (N=133) was conducted with empathic robot behaviour (empathically accurate, neutral, inaccurate)...
This paper presents a new context awareness service decision method based on fuzzy set theory and the knowledge discovery technique in rough set theory. The established system model in the paper provides users with a service list ranking according to possibilities of each service that users may need. Moreover, accuracy of decision rules can conclude from the system model.
Prediction of wireless network conditions enables the reconfiguration of mobile applications in a varying network environment, which in turn might gain more energy savings and better quality of service. In this paper, we focus on the prediction of network signal strength and its potential of improving energy saving in network-based power adaptations. We evaluate the performance of three prediction...
Opportunistic sensing allows to efficiently collect information about the physical world and the persons behaving in it. This may mainstream human context and activity recognition in wearable and pervasive computing by removing requirements for a specific deployed infrastructure. In this paper we introduce the newly started European research project OPPORTUNITY within which we develop mobile opportunistic...
The paper describes a modular, unit selection based TTS framework, which can be used as a research bed for developing TTS in any new language, as well as studying the effect of changing any parameter during synthesis. Using this framework, TTS has been developed for Tamil. Synthesis database consists of 1027 phonetically rich pre-recorded sentences. This framework has already been tested for Kannada...
The evaluation of a mobile application must be done considering its purpose and contexts on which it is suppose to be used. In this paper we introduce a multimodal artefact manipulation tool and discuss the results of its evaluation: conducted with a sub-set of its final users, in real contexts, considering: different interaction modalities (voice recognition, gesture recognition, direct interaction,...
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