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Catalog / DaviDee / Gesture-Controlled-Black-Board
Public GitHub Catalog Discovered Sep 26, 2026

DaviDee / Gesture-Controlled-Black-Board

In university restaurants and cafeteria students use bulletin boards in order to announce offers and to get a look on other offerings regarding used books, furniture, cars and apartments. The infrastructure doesn't support possibilities of internet technologies and paradigms such as web2.0. The Physical and Electronic Bulletin Board provides a public interactive screen, which can be used in different ways. In our version, we have integrated a number of features. This version has a slideshow. The images were placed on a Appache server. If an image is uploaded, it has been integrated into the running slideshow without closing the program. You could add different formats in the slideshow, such as PDF, JPG and GIF images. In addition, the PC was set for a certain time in the sleep mode to save the power costs. According the user questionnaire, the users wish more interactivity. The Kinect was proposed. But this version works with batch files, and there is no possibility to program the Kinect, so we had to change the system. The programming language C# has been taken as basis.

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#6353816GitHub System ID
DaviDeeOrganization / User
PublicVisibility
ActiveCatalog Status

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DaviDee/Indoor-Navigation

Undergraduate students and non-regular visitors (e.g. guest lecturers) often have problems finding certain rooms or people on campus. By the use of Smartphones with integrated GPS devices, navigation outside of buildings is possible. Inside the buildings, GPS is not available. For indoor navigation are numerous positioning methods available, e.g. WLAN-, Bluetooth- or UMTS-tracking. Each of the methods comes with advantages and disadvantages. In order to compensate disadvantages multiple positioning methods and tools can be used inside buildings. The application introduces a navigation service for Android, able to integrate different methods of positioning. Instead of multiple applications it is planned to provide a single Smartphone application for indoor navigation. Internally there are different modules managing the different positioning methods.

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