This paper proposes a method for constructing a 3D environment model using the AR marker. In this method, we assume that the 3D models of the structures such as rooms or buildings and the objects such as desks or chairs are prepared in advance. A mark called AR maker is put on the each object. The position and orientation of the AR maker are measured from the captured image by the camera using ARToolKit. Then, the position and orientation of the objects are obtained and the 3D models of the objects are placed in the 3D models of the structures. Experimental results are shown and future issues are discussed.

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The pattern authentication method of Smartphone (e.g. Android lock pattern) has risks of being stolen by the screen peeping (i.e. shoulder hacking) or being conjectured by residue on the screen. Accordingly, in the previous experiment, we have tried to develop a security enhancement method for pattern authentication of smartphone. To facilitate the user authentication in the same way as the pattern authentication, we applied self-organizing maps (SOM) as a machine-earner/classifier for the authentication. It builds on both the picture- password using locus and the angle of device holding. The result suggested the possibility to enhance the security of pattern authentication. In this article, we verify practical use of an extended picture-password method using behavioral profile and SOM for a biometrics authentication by the experiments.

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The purpose of this study was to evaluate the association between workload and fatigue, to prevent the fatigue in order to improve the patient safety in shift nursing. The study population comprised 29 nurses working in the medical ward of a private general hospital (participated in DPC, 2004). The survey items were as follows: number of steps per minute, number of conflict occurrences and task interruptions, subjective degree of busyness, and subjective symptoms of fatigue. The study results indicated that physical workload in the day shift, frequent irregular tasks along with physical workload in the early night shift, and mental workload and disturbances in the circadian rhythm in the late-night shift were the predominant causes of fatigue. In conclusion, the workload characteristics, busyness, and fatigue levels were different for each shift. Therefore, it is necessary to undertake measures to prevent fatigue during the shifts to help improve patient care and safety.

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