Proposed novel schema design for map generation to assist vision impaired in an indoor navigation environment
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While location-based services are already well established in outdoor scenarios, they are still not commonly available in indoor environments. Indoor location data are critical for emerging and future vision impaired indoor navigation applications. However, information for indoor environments is still very limited. When considering the indoor navigation for vision impaired, techniques to retrieve location information are narrowed and restricted. Therefore, it is very helpful if it contains semantic information about the spatial environment of the location, such as doors, walls, staircases. This paper presents a novel technique schema design used for an indoor map generation with the classification of real world objects and their locations. It will help to assist vision impaired individuals in an indoor navigation. Furthermore, this paper discusses the integration of input sensor data communication with K-SOAP protocol. Furthermore, the proposed schema design will facilitate real time map generation with a special cache integrated into the cloud database.
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