A gait recognition model building method based on myoelectric signals, a recognition method and a device

A technology for electromyography and gait recognition, which can be used in character and pattern recognition, instruments, computer parts, etc., and can solve problems such as low reliability.

Active Publication Date: 2019-03-08
UNIV OF ELECTRONICS SCI & TECH OF CHINA ZHONGSHAN INST
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Problems solved by technology

At present, more recognition signals mainly include physical signals and electromyography signals (EMG). Physical signals generally use pressure signals and image signals. Gait, low cost, simple structure, but because the acquisition process of the physical signal occurs after the movement occurs, there is a certain hysteresis, so it has limitations
The electromyographic signal (E...

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  • A gait recognition model building method based on myoelectric signals, a recognition method and a device
  • A gait recognition model building method based on myoelectric signals, a recognition method and a device
  • A gait recognition model building method based on myoelectric signals, a recognition method and a device

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[0055] The present invention will be described in further detail below in conjunction with the accompanying drawings and specific embodiments. It should be understood that the following exemplary embodiments and descriptions are only used to explain the present invention, not as a limitation to the present invention, and, in the case of no conflict, the embodiments in the present invention and the features in the embodiments can be combined with each other .

[0056] Such as figure 1 As shown, a method for establishing a gait recognition model based on electromyographic signals provided by an optional embodiment of the present invention includes the following steps:

[0057] Step S11, collecting the myoelectric signals on the muscles on the thigh that play a key role in the movement of the lower limbs;

[0058] Step S12, performing noise reduction processing on the collected EMG signal;

[0059] Step S13, add the class label representing the corresponding human gait type to...

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Abstract

The embodiment of the invention provides a gait recognition model building method based on myoelectric signals, a recognition method and a device. The model building method comprises the following steps of collecting the myoelectric signals; reducing the noise; adding a class tag and extract the following EMG signal characteristics: slope change rate, Willison amplitude, logarithm of variance, waveform length, and characteristics DB7-MAV; calculating the DBI index and SCAT index and obtaining the comprehensive evaluation results. The comprehensive evaluation result are randomly divided into atraining sample group and a test sample group according to a predetermined proportion, and input them into the LightGBM model for training and testing. The parameters in LightGBM model are adjusted according to the error of training set and test set, and grouped, trained, tested and adjusted repeatedly until the error of model test results accords with the data model of predetermined standard, andthe corresponding relationship between human gait type and comprehensive evaluation results is stored in the data model. The embodiment of the invention can efficiently and accurately establish a data model, and the gait recognition rate is high and the recognition result is more reliable.

Description

technical field [0001] Embodiments of the present invention relate to the technical field of gait recognition, in particular to a method for establishing a gait recognition model based on electromyographic signals, a recognition method and a device. Background technique [0002] As an emerging application technology, biometric technology has been widely used in many aspects. The effective identification of human walking gait can better analyze and study human walking gait, which in turn can provide more reliable data support for competitive sports, fitness sports, bionic medical device research and other aspects. [0003] At present, the technology of walking gait recognition is mainly to identify and analyze the lower limb gait. The lower limb gait is the posture and state of the legs during the walking process of the human body, which has periodicity, continuity and repetition. features. In the process of human body movement, the time from one side of the heel to the gro...

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Application Information

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IPC IPC(8): G06K9/00
CPCG06F2218/06G06F2218/08G06F2218/12
Inventor 彭芳张成彭威周桥胡涛钟德宝
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA ZHONGSHAN INST
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