A fast and precise indoor localization algorithm based on an online sequential extreme learning machine
Nowadays, developing indoor positioning systems (IPSs) has become an attractive research topic due to the increasing demands on location-based service (LBS) in indoor environments. WiFi technology has been studied and explored to provide indoor positioning service for years in view of the wide deplo...
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| Main Authors: | , , , |
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| Other Authors: | |
| Format: | Article |
| Language: | English |
| Published: |
2015
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10356/106642 http://hdl.handle.net/10220/25010 |
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| Institution: | Nanyang Technological University |
| Language: | English |