التفاصيل البيبلوغرافية
| العنوان: |
Multimodal Sensor Data Integration for Indoor Positioning in Ambient-Assisted Living Environments. |
| المؤلفون: |
Sansano-Sansano, Emilio, Belmonte-Fernández, Óscar, Montoliu, Raúl, Gascó-Compte, Arturo, Caballer-Miedes, Antonio |
| المصدر: |
Mobile Information Systems; 8/25/2020, p1-16, 16p |
| مصطلحات موضوعية: |
INDOOR positioning systems, DATA integration, DATABASES, SENSOR placement, DETECTORS, FORECASTING, MULTIMODAL user interfaces |
| مستخلص: |
A reliable Indoor Positioning System (IPS) is a crucial part of the Ambient-Assisted Living (AAL) concept. The use of Wi-Fi fingerprinting techniques to determine the location of the user, based on the Received Signal Strength Indication (RSSI) mapping, avoids the need to deploy a dedicated positioning infrastructure but comes with its own issues. Heterogeneity of devices and RSSI variability in space and time due to environment changing conditions pose a challenge to positioning systems based on this technique. The primary purpose of this research is to examine the viability of leveraging other sensors in aiding the positioning system to provide more accurate predictions. In particular, the experiments presented in this work show that Inertial Motion Units (IMU), which are present by default in smart devices such as smartphones or smartwatches, can increase the performance of Indoor Positioning Systems in AAL environments. Furthermore, this paper assesses a set of techniques to predict the future performance of the positioning system based on the training data, as well as complementary strategies such as data scaling and the use of consecutive Wi-Fi scanning to further improve the reliability of the IPS predictions. This research shows that a robust positioning estimation can be derived from such strategies. [ABSTRACT FROM AUTHOR] |
|
Copyright of Mobile Information Systems is the property of Hindawi Limited and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) |
| قاعدة البيانات: |
Complementary Index |
Full Text Finder