Catch You as I Can: Indoor Localization via Ambient Sound Signature and Human Behavior
Localization, together with scene and human activity sensing, provides primitive and essential information for upper layer mobile applications. In this paper, we present a novel indoor localization system. We not only make rough localization by the use of the Wi-Fi/GSM signal, but also use the micro...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2013-11-01
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| Series: | International Journal of Distributed Sensor Networks |
| Online Access: | https://doi.org/10.1155/2013/434301 |
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