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An Automatized Contextual Marketing System Based on a Wi-Fi Indoor Positioning System
| Content Provider | MDPI |
|---|---|
| Author | Jos, é-Antonio López-Pastor Antonio-Javier, García-Sánchez Jos, é-Luis Gómez-Tornero Ruiz-Ruiz, Antonio-Jesús |
| Copyright Year | 2021 |
| Description | A complete contextual marketing platform including an indoor positioning system (IPS) for smartphones is proposed and evaluated to later be deployed in large infrastructures, such as malls. To this end, we design and implement a novel methodology based on location-as-a-service (LAAS), comprising all the required phases of IPS generation: mall digital map creation, the tools/procedures for offline calibration fingerprint acquisition, the location algorithm, the smartphone app acquiring the fingerprint data, and a validation procedure. To select an appropriate fingerprint location algorithm, a comparison among K-nearest neighbors (KNN), support vector machine (SVM), and Freeloc is accomplished by employing a set of different smartphones in two malls and assessing different occupancy levels. We demonstrate that our solution can be quickly deployed at shop level accuracy in any new location, resulting in a robust and scalable proposal. |
| Starting Page | 3495 |
| e-ISSN | 14248220 |
| DOI | 10.3390/s21103495 |
| Journal | Sensors |
| Issue Number | 10 |
| Volume Number | 21 |
| Language | English |
| Publisher | MDPI |
| Publisher Date | 2021-05-17 |
| Access Restriction | Open |
| Subject Keyword | Sensors Industrial Engineering Indoor Location System Smartphone Location Area-level Positioning Wi-fi Fingerprint Contextual Marketing |
| Content Type | Text |
| Resource Type | Article |
