Name
Abstract | ||
|---|---|---|
This research considers an application for a smartphone to support indoor evacuation guidance used in a building which contains many laboratories at a university, and proposes a simple WiFi positioning system without AP locations. The proposed system can recognize user's location by using a hierarchical neural network and the input of the network is only a list of detected SSIDs by a smartphone. The system is implemented on the smartphone and evaluated the recognition rate. |
Year | Venue | Keywords |
|---|---|---|
2015 | 2015 IEEE 4TH GLOBAL CONFERENCE ON CONSUMER ELECTRONICS (GCCE) | WiFi positioning, Acess Point, SSID, Smartphone, Indoor evacuation guidance |
Field | DocType | Citations |
Service set,Hierarchical neural network,Computer science,Real-time computing,Positioning system | Conference | 0 |
PageRank | References | Authors |
0.34 | 0 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Masaya Ohta | 1 | 34 | 13.59 |
| Jun Sasaki | 2 | 5 | 5.51 |
| Takahashi, S. | 3 | 0 | 0.68 |
| Katsumi Yamashita | 4 | 10 | 5.98 |