Wifi-based Indoor Navigation with Mobile GIS and Speech Recognition

نویسندگان

  • Jiangfan Feng
  • Yanhong Liu
چکیده

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.

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تاریخ انتشار 2012