Human behavior real-time recognition method

Abstract

The present invention provides a human behavior real-time recognition method, and the method comprises the steps of: firstly, collecting triaxial acceleration data of an acceleration sensor by utilizing mobile equipment and uploading the triaxial acceleration to a PC (personal computer) machine; secondly, preprocessing the triaxial acceleration data by utilizing a preprocessing module on the PC machine, wherein the preprocessing includes window length cutting and feature extracting; then training a Gaussian processes classifier model with relatively high precision by utilizing the pre-processed data; transplanting and installing the Gaussian processes classifier model and the preprocessing module to an Android platform; and then installing the platform to the mobile equipment; and finally performing real-time testing and observation on human behaviors. The method can be effectively applied to various actual environments such as emergency rescue environments, medical healthcare environments and the like; by solving the congestion problem caused by too large data volume during remote data transmission in a conventional method, the data volume processed by a mobile phone is reduced; the energy consumption is lowered; and efficient, accurate and real-time remote human behavior monitoring is realized.

Description

technical field [0001] The present invention relates to information technology application fields such as human body behavior recognition, sensor technology, mobile communication, etc., relates to a human body behavior real-time recognition method, in particular to a human body behavior real-time recognition method based on a single acceleration sensor and an Android platform. Background technique [0002] At present, there are mainly two methods for human behavior recognition: image analysis method and sensor analysis method. However, due to the large amount of data to be processed and the complex algorithms required when processing images, it is difficult to apply image analysis methods in many cases or the effect of practical applications is poor. For example, in fields such as medical treatment, health care, and emergency rescue that have high requirements for real-time performance and energy consumption, sensor-based behavior recognition methods have more practical appl...

AI Technical Summary

Problems solved by technology

[0005] In view of the shortcomings of the prior art described above, the purpose of the present invention is to provide a real-time recognition method for human behavior, which is used to solve the problems of large amount of data and poor real-time performance in the human behavior recognition method in the prior art.

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