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In recent years, energy management of the mobile device is researched in two approaches; energy saving and energy charging. In terms of energy charging, though the wireless charging and the energy harvesting technologies have been proposed, these technologies could not satisfy all of the criteria; location-free, connection-free, reliable and human-safe. In response, the authors are proposing a new...
Recently, various types of mobile robots have clearly gained attention and some are readily available. In response to this, the authors have been studying on realizing both wireless charging and self-localization as an integrated compact system using magnetic resonance coupling. However, due to the fact that sensing range depends on the fixed quality factor of antenna, the narrow sensing range of...
Detecting human activity has been one of the main focuses in intelligent spaces. This is achieved by using a large number of sensors attached both to the humans and the environment. Yet, these systems are prone to failure due to the parallel sensing when miss firings occur. We propose a method to test and prevent the miss firings using conditional random fields, since they provide us with a tool that...
This paper presents interaction between a user and a smart electric wheelchair. We propose a personal mobility tool (PMT) which integrates autonomous mobile robot navigation technology with intuitive and cognitive interaction between a user and a smart wheelchair. An intuitive and noncontinuous input method to enable a user to specify a direction in which he/she wants to go is proposed. Using an acceleration...
Intelligent Space (iSpace) is a space where many sensors and actuators are distributed. The ultimate goal of iSpace project is to accomplish an environment that comprehends human's intentions and satisfies them. To do this, it is necessary to get information of the humans and artificial objects in the space. Therefore, this paper focuses on the observation function of iSpace which. Our ongoing researches...
Tracking and recording human activities have been a major interest in the iSpace, for this purpose different recognition and clustering techniques have been used, like using a Learning Classifier System and data Mining Techniques. These techniques share the common factor of database dependence and there was actually little effort into making the system to understand the way human were behaving in...
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