提出一种基于智能终端的环境与接近度感知方法。首先，基于智能终端多种内置传感器采集的环境数据，提出一种环境感知算法，可以有效地识别不同场景切换；其次，以log－normal衰落模型得到的蓝牙信号RSSI损耗特性为基础，结合环境感知算法，提出一种基于蓝牙信号RSSI方差的接近度自适应感知算法，该算法模型可在室内室外环境切换以及有无遮挡等多种场景下自适应判断接近度；最后，采用Java语言在安卓系统的智能终端系统上实现该算法，实验结果表明接近度识别准确率为76．96%~99．98%，该模型可广泛应用于人流监测与疏散、媒体投放等社交相关领域。%This paper present a practical method to jointly conduct environmental perception and estimate proximity between humans based on intelligent terminals. Firstly, based on the data collected by the built-in sensors within the intelligent terminal, we proposed an environmental perception algorithm, which can effectively detect the switch of various environments. Secondly, based on the log-normal fading characteristic of Bluetooth RSSI and the environment perception algorithm, we propose an adaptive proximity estimation algorithm based on RSSI variance. The proximity estimation method can adaptively estimate proximity under different scenarios, ranging from indoors to outdoors, from being sheltered to unsheltered. Finally, a prototype system in Java is developed on Android Intelligent terminals to implement the algorithm. Experiments results show that the estimation accuracy is between 76.96%and 99.98%. This model can be applied to many social related areas, such as monitoring and evacuation of population flow, media advertisements, etc.
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