A method for real-time recognition of human behavior
A technology for identifying methods and behaviors, applied in the field of information technology applications, can solve problems such as large data volume and poor real-time performance, and achieve the effects of low energy consumption, small data volume, and overcoming blocking problems
Active Publication Date: 2019-01-25
SHANGHAI ADVANCED RES INST CHINESE ACADEMY OF SCI
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[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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[0027] Embodiments of the present invention are described below through specific examples, and those skilled in the art can easily understand other advantages and effects of the present invention from the content disclosed in this specification. The present invention can also be implemented or applied through other different specific implementation modes, and various modifications or changes can be made to the details in this specification based on different viewpoints and applications without departing from the spirit of the present invention.
[0028] Please refer to the attached Figure 1 ~ Figure 4 . It should be noted that the diagrams provided in this embodiment are only schematically illustrating the basic idea of the present invention, and only the components related to the present invention are shown in the diagrams rather than the number, shape and shape of the components in actual implementation. Dimensional drawing, the type, quantity and proportion of each comp...
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The invention provides a method for real-time recognition of human behavior, comprising the steps of: firstly, using a mobile device to collect three-axis acceleration data in an acceleration sensor and uploading it to a PC; then, using a preprocessing module on the PC to process the three-axis acceleration data Perform preprocessing, including window length interception and feature extraction; then use the preprocessed data to train a Gaussian process classifier model with higher accuracy, and transplant and install the Gaussian process classifier model and preprocessing module to the Android platform Then install it in mobile devices, and finally conduct real-time testing and observation of human behavior. The method of the present invention can be effectively applied to various environments in practice, such as emergency rescue and medical care environment, etc., by overcoming the blocking problem caused by the large amount of data in the traditional method of remote data transmission, reducing the amount of data processed by the mobile phone, Reduce energy consumption and realize efficient, accurate and real-time remote monitoring of human behavior.
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...
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IPC IPC(8): G06K9/00
CPCG06V40/103G06V40/20
Inventor 王晓梅马皛源魏建明
Owner SHANGHAI ADVANCED RES INST CHINESE ACADEMY OF SCI