Life Behavior Record And Analysis System Based On Android Smart Watch

In recent years,with the rapid development of the sensor technology and the wireless network communication technology,multi-functional intelligent devices are flooding in people's social life,work and study,mobile devices led by smartphones and tablets act as the solid substance carrier in the mobile computing research field,providing great support in mobile data mining,human behavior recognition,social relation detection and intelligent traffic navigation.At the same time,integrated multi-sensor intelligent equipment makes the data real-time acquisition,dynamic capture becomes reality.For example,the smartphone embedded GPS location,acceleration,direction,gravity and nearest neighbor sensor can be in process of continuously sensing the surrounding environment information,laying a reliable and solid data foundation for mobile calculation study.Since entering the new century,along with the development of large-scale integrated circuit technology,high-tech intelligent portable wearable devices gradually on the rise,such as smart watches,glasses etc.which are given different personalized mobile computing functions,not only realise increasingly miniaturization and lightweight in hardware,but also more and more complex,multi-functional in the software.The perfect combination between hardware and software makes these wearable intelligent equipment more and more lovely and gives rise to more broad prospects for development.In this paper,aiming at the dynamic behavior for the moving object,it focuses on the dynamic pattern recognition technology of the mobile behavior.First,it introduces the concept,definition,demand and function of the life-streaming clock(We have designed a life behavior record analysis system based on smartwatch,which is called the life-streaming clock);secondly,according to the characteristics of the moving behavior pattern recognition,presents a flow clock dynamic identification model based on Android smartwatch,designing a " client + cloud " life-streaming clock system structure,studying the dynamic data acquisition and real-time transmission mechanism,the dynamic behavior pattern recognition mechanism and the behavior visualization mechanism based on the framework;finally,it builds a experiment environment with Android smartphone,Android smartwatch and Baidu cloud services platform,verifying the life-streaming clock application,system architecture model and three key data processing mechanisms,it proves that the life-streaming clock application system can effectively identify the dynamic behavior of the human body,providing effective support for mobile computing data mining in the field of human behavior.