Semi-Supervised Learning for Indoor Hybrid Fingerprint Database Calibration With Low Effort
The interest of indoor localization based on the IEEE 802.11 wireless local area network signal increases remarkably to support pervasive computing applications, but the process of fingerprints calibration, which is point-by-point conducted manually, is time consuming and labor intensive. To address...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2017-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/7873232/ |