This paper reports a method of controlling a user's hand through the process of writing. Developed predominantly for enabling users to re-learn the skill of writing after a stroke, the process could also be used for teaching children hand / eye coordination, motor skills, movement and position awareness in writing. Utilising low cost haptic technology and custom control software, the system has the potential to increase writing skills in stroke sufferers in the privacy and comfort of their own home.

In this paper we discuss the use of accelerometers and Bluetooth to monitor canine pose in the context of common poses observed in Urban Search and Rescue dogs. We discuss the use of the Canine Pose System in a disaster environment, and propose techniques for determining canine pose. In addition we discuss the challenges with this approach in such environments. The paper presents the experimental results obtained from the Heavy Urban Search and Rescue disaster simulation, where experiments were conducted using multiple canines, which show that angles can be derived from acceleration readings. Our experiments show that similar angles were measured for each of the poses, even when measured on multiple USAR canines of varying size. We also found measurable and consistent differences between each of the poses, making them clearly distinguishable from one another, again even when comparing with different USAR canines.

Efficient pattern matching algorithms in ad hoc networks can have significant benefits in generating real-time context and eliminate the need for a centralized arbiter. In our paper we demonstrate a generic and customizable architecture for achieving efficient pattern matching in mobile ad hoc networks. A major limitation of current ad hoc matching algorithms is that they are tailored for a specific design scenario and are unable to adapt to new scenarios. In this paper we present a novel architecture for the development of an ad hoc generic matching engine which is customizable to varying scenarios through a web service. We show how customizable semantics can play an important role in decision making, selection of a desired attribute and notifying a message in a volatile network. We also show how our system is adaptable to various scenarios, and focus on social interaction to verify our results.

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