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A method of human behavior recognition based on mobile devices

A mobile device and recognition method technology, applied in character and pattern recognition, instruments, calculations, etc., can solve problems such as poor accuracy and poor versatility of human behavior recognition methods

Active Publication Date: 2019-05-31
ZHEJIANG UNIV
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Problems solved by technology

[0007] In order to overcome the shortcomings of poor versatility and poor accuracy of existing human behavior recognition methods, the present invention provides a mobile device-based human behavior recognition method with good versatility and high accuracy

Method used

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  • A method of human behavior recognition based on mobile devices
  • A method of human behavior recognition based on mobile devices
  • A method of human behavior recognition based on mobile devices

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Embodiment Construction

[0044] The present invention will be further described below in conjunction with the accompanying drawings.

[0045] refer to Figure 1 ~ Figure 3 , a mobile device-based human behavior recognition method, comprising the following steps:

[0046] Step (1), training device location classification model c p and a behavioral classification model based on different device locations ca i ,ca i ∈C, C is a collection of behavior classification models, C={ca 1 ,ca 2 ,...,ca I}, behavior classification model ca i with device position p i has a one-to-one correspondence, the device position p i ∈P, P is a set of predefined device positions, P={p 1 ,p 2 ,...,p I}, I is the number of predefined device location categories;

[0047] Step (2), collecting raw sensor data in real time through the built-in sensor of the mobile device;

[0048] Step (3), performing data preprocessing on the data collected in real time by the built-in sensor of the mobile device, to obtain the data s...

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Abstract

A human behavior recognition method based on mobile devices, which uses a variety of sensors built in mobile devices to collect data in real time; performs a series of data preprocessing operations such as correction, filtering, calculation and data generation, and data segmentation on the data obtained by the sensors; Feature extraction is performed on the processed data segment, and the extracted corresponding feature vector is input into the device location classification model to obtain the device location category; the corresponding behavior classification model is selected according to the obtained device location category, and the extracted corresponding feature vector is input into the behavior classification model, Obtain the final behavior recognition result. The invention provides a mobile device-based human behavior recognition method with good versatility and high accuracy.

Description

technical field [0001] The invention relates to the technical field of behavior recognition, in particular to a mobile device-based human behavior recognition method. Background technique [0002] Human behavior recognition is a technology that judges the state of human behavior by acquiring and analyzing data related to human behavior. By learning the basic behavioral activities of the human body, this technology can provide information for sports tracking, health monitoring, fall detection, elderly monitoring, patient recovery training, complex behavior recognition, auxiliary industrial manufacturing, human-computer interaction, augmented reality, indoor positioning and navigation, personal characteristics The research and application in many fields such as identification and urbanization calculation provide information about the human body, so it has important application value and research significance. [0003] Traditional human behavior recognition technology is mainl...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/00G06K9/62
CPCG06V40/23G06F2218/00G06F18/2411G06F18/2451G06F18/24323
Inventor 潘赟茹晨光朱永光朱怀宇
Owner ZHEJIANG UNIV
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