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Indoor-space Awareness Using Descriptive Data

Authors:
Kang-jae Lee
Hye-Young Kang
Jiyeong Lee

Keywords: Indoor-space Awareness; Architecture;Descriptive data; Optical Character Recognition; Geocoding.

Abstract:
Wide use of locational information has recently contributed to many GIS application services in a variety of ways, for example, shopping, tourism and transportation. In particular, these human behaviors have been widened from outdoor into indoor-space due to the appearance of large scale and complex buildings. Thus, indoor localization for various location based services has been researched in indoor-space using wireless LAN, RFID or Bluetooth instead of using GPS. However, these positioning technologies require intensive computation and have a limitation to retain stable accuracy. Thus, in this paper, we introduce Indoor-space Awareness Architecture using descriptive data such as names or phone numbers from images captured from mobile devices. OCR engine is especially applied in the architecture to recognize text from the descriptive data.

Pages: 168 to 171

Copyright: Copyright (c) IARIA, 2013

Publication date: February 24, 2013

Published in: conference

ISSN: 2308-393X

ISBN: 978-1-61208-251-6

Location: Nice, France

Dates: from February 24, 2013 to March 1, 2013