| Presentation | 2012-11-08 Simplified WLAN Localization Deployment by Learning from Route Annotation Ryoma KAWAJIRI, Masamichi SHIMOSAKA, Rui FUKUI, Tomomasa SATO, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Recently wireless LAN (WLAN) localization systems are gaining popularity in pervasive computing, machine learning and sensor networks communities, especially indoor scenarios where GPS coverage is limited. To accurately predict location, a large amount of fingerprints composed of received signal strength values is necessary. Moreover, standard supervised or semi-supervised approaches also require location information to each fingerprint, where annotation work is rather tedious and time consuming. To reduce the efforts and time required to build calibration data, we present a novel calibration methodology "route-annotation" and a self-training algorithm for learning from route information effectively. On the proposed calibration methodology, an annotator walks around while measuring fingerprints, then occasionally stops to annotate fingerprints with route from previous location to current location. This calibration reduces work time even compared to partially annotation, while routes have richer information for learning. The proposed learning algorithm comprises following two iterative steps: 1) inferring locations of each fingerprint under route constraints and 2) updating parameters. Experimental results on real-world datasets demonstrate learning from route-annotated data is comparable to state-of-the-art supervised and semi-supervised approaches trained with large amount of calibration data. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | WLAN Localization / Route Annotation / Self-Training |
| Paper # | IBISML2012-88 |
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| Conference Information | |
| Committee | IBISML |
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| Conference Date | 2012/10/31(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
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| Paper Information | |
| Registration To | Information-Based Induction Sciences and Machine Learning (IBISML) |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Simplified WLAN Localization Deployment by Learning from Route Annotation |
| Sub Title (in English) | |
| Keyword(1) | WLAN Localization |
| Keyword(2) | Route Annotation |
| Keyword(3) | Self-Training |
| 1st Author's Name | Ryoma KAWAJIRI |
| 1st Author's Affiliation | The University of Tokyo() |
| 2nd Author's Name | Masamichi SHIMOSAKA |
| 2nd Author's Affiliation | The University of Tokyo |
| 3rd Author's Name | Rui FUKUI |
| 3rd Author's Affiliation | The University of Tokyo |
| 4th Author's Name | Tomomasa SATO |
| 4th Author's Affiliation | The University of Tokyo |
| Date | 2012-11-08 |
| Paper # | IBISML2012-88 |
| Volume (vol) | vol.112 |
| Number (no) | 279 |
| Page | pp.pp.- |
| #Pages | 8 |
| Date of Issue | |