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Method for identifying action types

An action, type of technology, applied in the field of motion trajectory

Active Publication Date: 2020-01-14
无锡慧眼人工智能科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

However, the methods in the prior art cannot meet such requirements

Method used

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Embodiment Construction

[0044] In the following, only some exemplary embodiments are briefly described. As those skilled in the art would realize, the described embodiments may be modified in various different ways, all without departing from the spirit or scope of the present invention. Accordingly, the drawings and descriptions are to be regarded as illustrative in nature and not restrictive.

[0045] The preferred embodiments of the present invention will be described below in conjunction with the accompanying drawings. It should be understood that the preferred embodiments described here are only used to illustrate and explain the present invention, and are not intended to limit the present invention.

[0046] This embodiment shows a method for identifying motion types. The method utilizes the technology of fast Fourier transform to directly sample trajectory models of motion vectors, and can identify complex continuous motion trajectories with less computational cost. And further to the operati...

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Abstract

The invention provides a method for identifying action types. The method comprises the following steps: collecting motion data; processing the motion data into a plurality of data segments; respectively performing Fourier transform on the plurality of data segments to obtain frequency domain features of the plurality of data segments; respectively matching the frequency domain features of the plurality of data segments with the frequency domain features of the action elements to obtain action elements corresponding to the plurality of data segments; connecting the action elements correspondingto the plurality of data segments to obtain continuous action elements; and matching a continuous action model by using the continuous action elements, and identifying the type of the action. By adopting the method provided by the invention, complex continuous actions can be identified, and the calculation cost is low.

Description

technical field [0001] The invention relates to the field of motion tracks, in particular to a method for identifying motion tracks using sensor data. Background technique [0002] At present, the use of sensor data for motion trajectory recognition is mainly used in the civilian field to track the motion of the human body to count the number of steps or to track the motion of the mobile phone in the app to achieve navigation. The method of calculating the number of steps is mainly to analyze the peaks and valleys of the acceleration value after filtering. By studying the peak and valley characteristics of the walking movement and setting the threshold to judge whether the walking movement is carried out, the advantage is that the calculation amount is very small, and for simple movements, It can be realized at a very low cost. However, this method is mainly used to distinguish relatively simple motions, and the types of motions recognized are relatively small and single, a...

Claims

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Application Information

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IPC IPC(8): A61B5/11A61B5/00
CPCA61B5/1123A61B5/1122A61B5/6802A61B5/7257A61B5/7246
Inventor 吕楠张丽秋高超
Owner 无锡慧眼人工智能科技有限公司
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