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Action recognition method based on finite automata model

A finite automaton, motion recognition technology, applied in the direction of mechanical mode conversion, user/computer interaction input/output, motion accessories, etc., can solve problems such as spending a lot of time, affecting efficiency, delaying response time, etc., to improve motion recognition. The effect of efficiency

Active Publication Date: 2013-11-20
SHANGHAI ZHANGMEN TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

It takes a lot of time and effort to recognize some complex actions, and this is the case for every action added
Moreover, there are a large number of floating-point operations in the algorithm, which seriously affects the efficiency and delays the response time

Method used

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  • Action recognition method based on finite automata model
  • Action recognition method based on finite automata model
  • Action recognition method based on finite automata model

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Embodiment Construction

[0022] An embodiment of the large-scale motion sensing method based on the finite automata model of the present invention is as follows: figure 1 shown, including the following steps:

[0023] (1) Define sub-actions;

[0024] (2) Divide the dynamic operation into several sub-actions, and use mathematical expressions to describe the sequence of sub-actions in the configuration file;

[0025] (3) The dynamic data of the dynamic handle collected by the acceleration sensor is divided into several continuous data subsets, each data subset is judged as a corresponding sub-action, and the sub-action sequence of the dynamic data is obtained;

[0026] (4) The sub-action sequence judged based on the dynamic data is error-shielded according to the spatial displacement and average acceleration of the sub-action, so as to eliminate the error caused by the static induction and micro-jitter of the dynamic handle;

[0027] (5) Introduce the finite automata model, and perform action recognit...

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Abstract

The invention discloses an action recognition method based on a finite automata model, which comprises the following steps: defining a sub-action; dividing motion operation into a plurality of the sub-actions, and describing the sequence of the sub-actions by an action expression; dividing motion data acquired by an acceleration sensor into a plurality of continuous data subsets, and judging the data subsets as corresponding sub-actions to obtain the sequence of the sub-actions of the motion data; and introducing the finite automata model, and according to the sub-actions of the motion data and the action expression of the motion operation, performing action recognition. The action recognition method can process input action data in real time and improve the efficiency of the action recognition.

Description

technical field [0001] The invention relates to motion sensing technology, in particular to a motion recognition method based on a finite automaton model. Background technique [0002] In general, motion sensing technology can be divided into two types according to the size of the motion range: micro motion sensing and large motion sensing. The common micro motion sensing is like a flight simulator. The common large-scale motion sensing is like the Wii video game console released by Nintendo in 2006. Large-scale motions such as up / down / left / right, etc., usually the arms will move. [0003] The application of motion sensing technology needs to be realized in combination with corresponding hardware. Take the gamepad as an example. For the first micro motion sensing technology, the handle needs to have a gyroscope capable of measuring the rotation speed. On the software side, only the gyroscope measured The rotational angular velocity can be simply processed. [0004] For the...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F3/01A63F13/02A63F13/211A63F13/428
Inventor 张静盛
Owner SHANGHAI ZHANGMEN TECH
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