Libraries are symbols of knowledge, as they are the main resource of information. They also have significant social role, and a great effect on human mood and social behaviour. The design of libraries can enhance or hinder motivation for the student to use them not only during exams, but also in free time. The importance of daylight in buildings is nowadays of particular interest, in terms of visual comfort and well-being in particular in educational environment, such as libraries where appropriate daylight levels must be provided, to allow the users to carry out their work quickly and precisely, and to create a comfortable environment, suitable to prevent physical problems, scarcity of motivation and sleepiness. Several studies have also suggested that daylight may have a positive impact on student performance. In the current study, users' perception is examined using a questionnaire to investigate problems of natural lighting to contribute to enhance visual comfort, and satisfaction of library occupants with the qualities of their visual environment. The case study is a library representative of newly building facades in Algeria. Results analysis indicates that most of the participants felt very pleasant with lighting conditions overall in the library. However, the daylighting system still needs to be improved.
In this paper, we propose an automatic selection and natural feature tracking method that uses a monocular camera for path capturing and guides the user showing him the path to be followed. The application targets Alzheimer patients for helping them in their indoor moves. By offering an automatic selection of features, the user intervention and prior knowledge of the working environment would not be required to assure the good working of the system. The general principle of the proposed method is to record the path to be followed, and then recognise it in real time using purely visual methods, using only a single camera as an acquisition sensor. The devised system could be implemented on augmented-reality glasses with one single built-in camera. The experimental results have shown that the proposed method is very promising and the application could follow accurately the required path in real time, with a satisfying robustness in a fully-contrasted and static environment.
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