基于物联网智能的独居老人自动监控方法研究  

Old People Who Live Alone Automatic Monitoring Method Based on Iot Intelligence Research

作　　者：米晓萍[1] 李雪梅[1] 

机构地区：[1]山西大学工程学院,山西太原030013

出　　处：《计算机仿真》2014年第2期378-381,共4页Computer Simulation

基　　金：山西省自然科学基金项目(2011011014-3)

摘　　要：研究基于物联网框架下的独居老年人智能看护的问题。独居老人在家的行为存在较大突发性和随机性,关键反映特征受到手臂、角度、房屋结构等遮挡,存在监控死角。传统的智能监控方法缺少独立行为识别能力,框架下的设备无法对突发特征进行报警,由于遮挡的存在,对一些疑似行为缺少准确的识别。提出一种物联网框架下的人工智能独居老年人自动看护方法。在物联网的框架下,对老年人活动空间中视觉传感器采集的信号进行增强处理,为了适应物联网设备众多的需要,利用混沌粒子群算法,根据上述监控信号,完成老年人行为的寻优识别,克服死角、遮挡、异常无行为运动的干扰,实现老年人智能看护。实验结果表明,运用该算法进行人工智能独居老年人自动看护,能够极大的降低看护过程中的误识别率,从而保证独居老年人的安全。The intelligent method for solitary elder nursing based on the framework of internet of things was re- searched. It is sudden and random that the behavior of the elderly people live alone at home, and sometimes, the key reflected feature is obscured by the ann, angle and housing structure, thus blind monitoring angle may exists. In this paper, an automatic intelligent monitoring method for solitary elder nursing under the lOT was proposed. In the framework of IOT, the enhanced processing of the signal acquired by vision sensor for elderly activity space was ap- plied. In order to meet the large needs of IOT equipment, based on the monitoring signal, a chaotic particle swarm algorithm was used to complete the optimization identification of elderly behavior and overcome the interference of blind angle, occlusions and the abnormal behavior movement to achieve intelligent elderly care. The experimental re- sults show that the use of the automatic intelligent algorithm for solitary eider nursing can greatly reduce the error rec- ognition rate, so as to ensure the safety of elderly people living alone.

关 键 词：物联网 人工智能 独居老年人看护 混沌粒子群 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]