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This paper surveys the current research directions of activity recognition using inertial sensors, with potential application in healthcare, wellbeing and sports. The analysis of related work is organized according to the five main steps involved in the activity recognition process: preprocessing, segmentation, feature extraction, dimensionality reduction(More)
Service discovery is an emerging field in the area of ubiquitous computing. There are various techniques and protocols (proposed or/and already implemented) particularly tailored to specific sets of objectives. This paper analyses the current state of the art and presents a taxonomy of service discovery protocols. Along with design issues, the diversity of(More)
We propose an energy-efficient service discovery protocol for heterogeneous wireless sensor networks. Our solution exploits a cluster overlay, where the clusterhead nodes form a distributed service registry. A service lookup results in visiting only the clusterhead nodes. We aim for minimizing the communication costs during discovery of services and(More)
We propose a method through which dynamic sensor nodes determine that they move together by communicating and correlating their movement information. We describe two possible solutions, one using inexpensive tilt switches, and another one using low-cost MEMS accelerometers. We implement a fast, incremental correlation algorithm, which can run on resource(More)
The paper is organized as follows: First, an outline of the current situation is given, and a disposition of the problems that occur as a result of the limitations of the current way of operating. Following, a description is provided of how these problems might be overcome if WSNs are used. Furthermore, our proposed solution is addressed. Abstract—Wireless(More)
We propose an energy-efficient service discovery protocol for wireless sensor networks. Our solution exploits a cluster overlay, where the clusterhead nodes form a distributed service registry. A service lookup results in visiting only the clusterhead nodes. We aim for minimizing the communication costs during discovery of services and maintenance of a(More)
been carried out within the context of the Center for Telematics and Information Technology (CTIT) and under the auspices of the research school IPA (Institute for Programming research and Algorithmics). Abstract The evolution of computer technology follows a trajectory of miniaturization and diversification. The technology has developed from mainframes(More)
Wireless sensor nodes attached to everyday objects and worn by people are able to collaborate and actively assist users in their activities. We propose a method through which wireless sensor nodes organize spontaneously into clusters based on a common context. Provided that the confidence of sharing a common context varies in time, the algorithm takes into(More)
In this paper, we present a method for automatic, on-line detection of a user's interaction with objects. This represents an essential building block for improving the performance of distributed activity recognition systems. Our method is based on correlating features extracted from motion sensors worn by the user and attached to objects. We present a(More)