Research And Implementation Of Multi-sensor Signal Acquisition System Based On ARM For Mobile Scene

Life scene perception is a process of capturing and identifying signals or events in a life scene by some means of technology.Life scene perception by recording the details of life information,enhance the user's memory.The traditional event recording method is handwritten or computer records,although these means can record important events in life,but there is a problem that the recording time is not continuous and the operation takes a lot of manpower.Nowadays,due to the development of wearable and mobile multimedia technology,the details of life scenes can be captured in real time by electronic means.In this paper,the life scene perception system based on multi-sensor signal acquisition is studied.The application system finally realizes the perception and playback of the specific situation in the life scene.Specific research work includes:1.Build the hardware platform of the application system.Based on the analysis of the system functional requirements,the hardware platform is built.The hardware platform includes ARM core processor module,multi-channel sensor and hardware-driven debugging on the core platform.2.Design the software acquisition module of the system.The function of the acquisition module mainly includes the collection of the position information,the collection of the light information,the collection of the audio information and so on.3.The design of the related database.The design database stores the information,in which the location information is stored directly,the light intensity information is simply classified and stored,and the sound information feature is extracted and stored.4.Design of sound recognition and classification algorithm.The Bayesian network algorithm is used to classify the audio information for the extracted MFCC features and the fundamental frequency characteristics.5.Retrieval based on time latitude.Through the retrieval of time dimension,The system transfers the representation state of the multi-channel information at the same time to the search entry.6.Implementation of system awareness module.The design of position recognition,light intensity classification,sound classification and specific context-aware module is realized.7.Design visual interface.Use wxpython to write a visual interface,through the search entry load,the search results for the relevant information will be displayed in the interface.8.System testing and experimentation.At the end of the system design,the performance of the system was tested.Then several experiments were designed for the test of sound recognition,the test of position correspondence,the test of light intensity identification and the experiment of information retrieval.The life scene perception application system realizes the goal of specific situation perception of life scenes,that is,the realization of the signal acquisition,storage,classification and identification,perception,query and display and other functions.