基于智能手机行为感知的室内楼层定位方法  

Indoor floor positioning method based on activity awareness of smart phone

作　　者：汪千松[1] WANG Qiansong(Center of Modern Education Technology,Anhui Polytechnic University,Wuhu 241000,China)

机构地区：[1]安徽工程大学现代教育技术中心,安徽芜湖241000

出　　处：《传感器与微系统》2020年第10期20-23,共4页Transducer and Microsystem Technologies

基　　金：国家自然科学基金资助项目(61562087);安徽省自然科学基金资助项目(1908085MF183);安徽高校自然科学基金重点资助项目(KJ2018A0116)。

摘　　要：针对传统的楼层定位方法环境依赖性高、可用性低的问题,提出了一种基于智能手机行为感知的室内楼层定位方法。运用“进入”检测,感知行人进入建筑物的特定行为;通过基于气压的上下楼行为检测算法,识别行人的上下楼活动;以气压-海拔高度关系为原型建立室内气压楼层估算模型。实验结果表明:在仅依赖智能手机气压计和极少量AP信号源的条件下,楼层识别准确率达到85%以上,大大降低了定位方法对信号环境依赖,实现了高精度高可用的楼层定位。Aiming at the problem that the traditional floor positioning method has high environmental reliance and low availability,an indoor floor positioning method based on behavioral perception of smartphone is presented.This method uses the“entering”detection algorithm to sense the specific behavior of pedestrians entering the building.It recognizes up and downstairs activities of pedestrians based on air pressure up and downstairs behavior detection algorithm.Indoor air pressure floor estimation model based on the air pressure-altitude relationship is established.The experimental results show that the floor localization method achieves a floor recognition accuracy of over 85%under the conditional of relying only on the barometer of smartphone and a very small amount of AP signal sources,which greatly reduces the dependence of the positioning method on the signal environment and achieves high-precision and high-available floor positioning.

关 键 词：楼层定位 行为感知 “进入”检测 气压 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]