M. Ohta, Jun Sasaki, Seiya Takahashi, K. Yamashita
{"title":"无AP位置的WiFi定位系统,用于室内疏散引导","authors":"M. Ohta, Jun Sasaki, Seiya Takahashi, K. Yamashita","doi":"10.1109/GCCE.2015.7398642","DOIUrl":null,"url":null,"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.","PeriodicalId":363743,"journal":{"name":"2015 IEEE 4th Global Conference on Consumer Electronics (GCCE)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":"{\"title\":\"WiFi positioning system without AP locations for indoor evacuation guidance\",\"authors\":\"M. Ohta, Jun Sasaki, Seiya Takahashi, K. Yamashita\",\"doi\":\"10.1109/GCCE.2015.7398642\",\"DOIUrl\":null,\"url\":null,\"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.\",\"PeriodicalId\":363743,\"journal\":{\"name\":\"2015 IEEE 4th Global Conference on Consumer Electronics (GCCE)\",\"volume\":\"10 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 IEEE 4th Global Conference on Consumer Electronics (GCCE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/GCCE.2015.7398642\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 IEEE 4th Global Conference on Consumer Electronics (GCCE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/GCCE.2015.7398642","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
WiFi positioning system without AP locations for indoor evacuation guidance
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.