计算机应用研究2017，Vol.34Issue(8)：2258-2263,6.DOI:10.3969/j.issn.1001-3695.2017.08.004
基于可穿戴设备的无监督室内/室外场景探测方法
Unsupervised method for indoor/outdoor detection bywearable device in environmental sensing
摘要
Abstract
This paper presented an unsupervised method for indoor/outdoor (IO) detection in environmental sensing via wea-rable devices equipped with multiple sensors.Firstly, the method constructed the context model on multi-dimensional time series sensor data.And it captured the context switching patterns(CSP) from the perspective of local trends resulted from IO context switching.Secondly,it built a simple yet efficient model to measure the similarity between a multi-dimensional outdoor reference time series and the sensor data collected by the wearable devices.As a result, the data could be classified into indoor and outdoor categories by the proposed model.It validated this method in a real environment with the sensors.The result shows that the classification accuracy of the proposed method is about 90.1% which is 13%~33% better than other alternatives.The method doesn''t require manually labeled training datasets.It achieves classification with high precision during the large scale collection.关键词
室内/室外探测/可穿戴设备/场景切换模式/相似性测量Key words
indoor/outdoor detection/wearable devices/context switching pattern/similarity measurement分类
信息技术与安全科学引用本文复制引用
周楠树,赵甦,王海洋..基于可穿戴设备的无监督室内/室外场景探测方法[J].计算机应用研究,2017,34(8):2258-2263,6.基金项目
国家自然科学基金资助项目(61371084) （61371084）
国家电网公司科技资助项目(52090F160007) （52090F160007）
