Design And Implementation Of Smart Mobile Phone Assistant Based On Context Awareness

With the rapid development of social economy, mobile phone has become a moreand more important part of people’s life. The rapid development of mobile terminaltechnology is changing the quality of life, the development and use of variouselectronic components, implementation of sensor, smart mobile phone, has become aninevitable trend of development. In this technique, based on context aware technologyprovides the powerful foundation and backing of system design and implementation.At present, context awareness has become a major hot research studies, it has beendeveloped in various fields. The smart mobile phone interface based on contextawareness has begun to have a research design, also in the electronic commerce,mobile phone library, shopping and so on also has developed, but in the smart mobilephone assistant APP field has not been realized.For the smart mobile phone currently widespread, its function grow with eachpassing day, all kinds of application software emerge in an endless stream, tedioussetup and dazzling applications for the elderly and people who are busy working tobring a great deal of inconvenience. If the mobile phone can intelligently according tothe surrounding environment to the user to remind or recommendation, will give theysave a lot of trouble. Based on the current development status of technology, using thecontext awareness technology, this paper developed a mobile phone assistant APP insmart mobile phone. The APP to be able to use the Android technology and sensortechnology to obtain the user environment with the situation of information analysisand calculation, combined with the ontology reasoning and Bayesian networkclassification algorithm, and gives users the corresponding recommendations andreminds.Based on the above requirement, the main work and research results are asfollows:(1) The overall collection of contextual information data. Including sensingtechnology acquisition of mobile phone user’s environment information, the user fill out the schedule information and gathering the top floor of the application ofmobile phone status information.(2) The accurate inference of user context. Based on data mining and context awaretechnology, use ontology reasoning, Bayesian network classification, rulegeneration algorithm for fast and accurate inference of user context.(3) Design and implementation of context aware system. Combined with the actualneeds, design and implement a system based on context-aware smart mobileassistant for users accordingly reminders and personalized recommendations.Through the above research work, this paper designs and implements theAndroid mobile phone platform for context aware mobile phone assistant systembased on smart mobile phone, and completed in the user interface interaction design,combined with the evaluation results of the system, compared with the traditionalsingle situation information and single reasoning algorithm, this paper adopts thecomprehensive information collection situation and ontology inference and the way ofBayesian network classification algorithm fusion, improve the accuracy of theclassification results, to verify the effectiveness of the system, and meet thepersonalized needs of users.