Motion recognition method based on acceleration sensor

An acceleration sensor and motion recognition technology, applied in the field of human-computer interaction, can solve problems such as poor recognition ability, and achieve the effect of improving computing efficiency and classification accuracy

Inactive Publication Date: 2012-10-03
BEIHANG UNIV
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Problems solved by technology

[0005] Purpose of the present invention: apply a kind of continuous signal processing method, automatically carry out endpoint detection, realize the automatic online segmentation ability of signal; Use Fused hidden Markov model as identification classifier, solve traditional hidden Markov model For the problem of poor recognition ability of complex i

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  • Motion recognition method based on acceleration sensor
  • Motion recognition method based on acceleration sensor
  • Motion recognition method based on acceleration sensor

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Embodiment Construction

[0029] Below in conjunction with accompanying drawing and embodiment the present invention is described in further detail:

[0030] The implementation process of the present invention includes four main steps: segment the acceleration signal online, train the classification model based on the Fused Hidden Markov Model, establish an autoregressive prediction model, and identify the Fused Hidden Markov Model with predictive ability .

[0031] Step 1, that is, to segment the acceleration signal online, is mainly divided into two stages:

[0032] The first stage: apply the recursive least squares prediction filter to process the acceleration motion signal as follows: figure 2 The schematic diagram of the principle of the RLS adaptive filter of the present invention is shown, and the recursive least squares method adaptive filter is set as the predictive filter, and the delay, filter order, forgetting factor are adjusted, and the filter coefficient factor is dynamically updated. ...

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Abstract

The invention relates to a motion recognition method based on an acceleration sensor, belonging to the technical field of human-computer interaction. The method comprises the steps of collecting acceleration signals of the sensor, smoothing the acceleration signals online, automatically detecting the beginning point and the end point of the motion and separating motion segments so as to automatically segment the signals; for increasing the recognition accuracy, using the Fused hidden markov model algorithm as a classifier in the invention, modeling each known model in the phase of training, and estimating the motion represented by the current signal in the phase of recognition; and for providing a recognition result before each motion, using an autoregressive prediction model in the invention, and predicting the unknown data by the collected known data so as to achieve the effect of early recognition. The motion recognition method based on the acceleration sensor is characterized in that the human motion can be captured with few sensors, and the current human motion types can be quickly and accurately recognized.

Description

technical field [0001] The invention relates to a motion recognition method, in particular to a motion recognition method of an acceleration sensor, and belongs to the technical field of human-computer interaction. Background technique [0002] Early motion recognition was mainly based on vision, given an image sequence or a video clip, to identify the type of motion of a person. The vision-based method has the advantages of natural interaction and rich feature information extracted, but this method also has some limitations in practical applications, and many problems need to be overcome. Such as the lighting conditions in the environment, the position of the characters in front of the camera, the size of the venue, etc. Sensors have the advantages of being cheap, easy to carry, and not limited by venues. With the development of these devices, motion recognition has been brought into a new research field, which complements the shortcomings of traditional vision-based motio...

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Application Information

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IPC IPC(8): G06F3/01
Inventor 梁晓辉刘杰郭承禹王剑
Owner BEIHANG UNIV
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