Friday 29th of March 2024
 

Wifi-based Indoor Navigation with Mobile GIS and Speech Recognition


Jiangfan Feng and Yanhong Liu

As the development of mobile communications and wireless networking technology and people\'s increasing demand for wireless location services, positioning services are more and more important and become the focus of research. However, the most common technology which supports outdoor positioning services is global positioning system (GPS), but GPS has been subjected to some restrictions in the complex environment. WLAN (Wireless Local Area Networks) has matured gradually in recent years, so positioning technique based on Wi-Fi can assist GPS. In this paper, we describe two positioning techniques based on WLAN: Triangulation and fingerprinting. Additionally, the method which associated with speech recognition and spatial data model is presented. Ultimately, the experimental result is encouraging and indicates that the proposed approach is effective.

Keywords: Wireless Networks, Navigation, Speech Recognition, Geographic Information Systems, Mobile Computing

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ABOUT THE AUTHORS

Jiangfan Feng
He received his B.S. degree from Southwest Agricultural University, and his Ph.D. degree from Nanjing Normal University, in 2002 and 2007. He works as associate professor of Chongqing University of Posts and Telecommunications. His main research area include spatial information integration and multimedia geographical information system.

Yanhong Liu
She received the B.S. degree in communication engineering from AnHui Normal Univ. in 2008 and 2012. She is currently working towards her M.S. in the Chongqing University of Posts and Telecommunications. Her current research interests include mobile GIS and multimedia geographical information system.


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