基于无线传感器网络和移动终端的日常行为识别
首发时间:2009-01-09
摘要:传感器、无线通讯和微电子等技术的进步和相互结合,推动了无线传感器网络的快速发展。无线传感器网络拥有信息收集、处理和传输功能,已广泛的应用于智能环境、交通运输、军事工程等领域。本文提出了一种基于无线传感器网络和移动终端的日常行为识别方法,通过用户携带的移动终端与传感器节点直接通讯,收集与用户相关的行为数据并进行数据预处理和行为识别。该方法通过传感器节点分组方法,将每个用户的移动终端和与其相关的传感器节点设为一组,每个移动终端只能接收本组节点和公共节点的消息,从而建立传感器数据和用户之间的关联关系。
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A Daily Activity Recognition Method Based on Wireless Sensor Network and Mobile Devices
Abstract:The development and intergrition of sensor, wireless communication and microelectronics Technology make contribution to the rapid development of wireless sensor network (WSN). Wireless sensor network have functions like information collection, processing and transmission, it has already been wildly used in many areas such as smart space, transportation, military and so on. In this paper we provide a daily activity recognition method base on wireless sensor network and mobile devices. A user’s mobile devices directly communicate with nodes in WSN and collect user related data for preprocessing and activity recognition. We divide nodes into different groups, each mobile device is in the same group with user related nodes and could only receive data from nodes in the same group or public groups, with this method the relationship between user and data from WSN is established.
Keywords: wireless sensor network, smart space, data mining, activity recognition
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No.2752717606212314****
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