一种基于智能终端的环境与接近度感知方法

发布时间：2018-02-01 09:45

本文关键词： 环境感知蓝牙接近度感知智能终端自适应校正无线传感网　出处：《电子设计工程》2016年24期 　论文类型：期刊论文

【摘要】：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。
[Abstract]:A method of environment and proximity perception based on intelligent terminal is proposed. Firstly, an environment sensing algorithm is proposed based on the environment data collected by multiple built-in sensors of intelligent terminal. It can effectively identify different scene switching; Secondly, based on the RSSI loss characteristics of Bluetooth signal obtained from log-normal fading model, combined with environment awareness algorithm. An approach adaptive sensing algorithm based on Bluetooth signal RSSI variance is proposed. The algorithm model can adaptively judge proximity in indoor and outdoor environment switching and with or without occlusion. Finally, the algorithm is implemented on the intelligent terminal system of the Android system with Java language. The experimental results show that the accuracy of the proximity recognition is 76.96% and 99.98%. The model can be widely used in social related fields such as crowd monitoring and evacuation, media delivery and so on.
【作者单位】：中国科学院上海微系统与信息技术研究所;上海科技大学;上海物联网有限公司;
【基金】：上海市浦江人才计划(14PJ1433100)
【分类号】：TN925
【正文快照】： 近年来,随着用户线下社交领域研究的蓬勃发展,用户间接近度成为感知用户社交状况的重要指标,其相关研究日趋重要。无论社交网络、移动广告投放或人流监测,都需了解用户的活动区域。由于传统的大规模市场调研已无法适应数据的快速变化与增长,所以当前迫切需要一种低成本、实时

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