Research On Human Localization System For Smart Home

With the increasing demand for intelligent and humanized family environment,more and more manufacturers have come to the research and application of smart home.How to improve the quality of products and services in the competition of the peer has become the focus of the major manufacturers.The addition of the position information in the family environment can make the related intelligent products provide more value-added applications based on location information,which has a broad prospect.Therefore,this paper focuses on the research and system construction of the human location algorithm in the intelligent home environment,and puts forward a set of indoor human body positioning solutions.Considering the environmental impact,cost factors and user acceptance of smart home sce-nario,this paper proposes an indoor positioning method based on inertial measurement unit and infrared sensor network.Using the inertial sensor worn by the human body to obtain the motion da-ta,a pedestrian navigation algorithm is used to realize the basic positioning function.At the same time,with the aid of infrared sensor network,indoor map information and behavior status map,the positioning accuracy is improved.Finally,the positioning function is realized under a framework of particle filter.It is proved by the experiments that the positioning algorithm proposed in this paper can well realize the positioning of the people in the intelligent home environment.Meanwhile,the background and Android application software for human localization system is designed and implemented,which provides user management,message processing,location display and other functions,realizing a solution based on location.This human body localization system is easy to use,reliable and available,low cost,and can provide reference for future research and application,which has high practical significance.