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Finger independent action recognition method and system based on MMG signal

A motion recognition and signal technology, applied in the field of biological signal recognition, can solve the problem of inability to recognize the independent motion of 5 fingers, and achieve the effect of high recognition rate

Active Publication Date: 2016-07-20
SHENZHEN UNIV
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AI Technical Summary

Problems solved by technology

[0004] In view of the deficiencies in the prior art above, the purpose of the present invention is to provide a method and system for independent finger motion recognition based on muscle signals, aiming at solving the problem that the prior art cannot realize independent motion recognition of five fingers based on muscle signals The problem

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  • Finger independent action recognition method and system based on MMG signal
  • Finger independent action recognition method and system based on MMG signal
  • Finger independent action recognition method and system based on MMG signal

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Embodiment Construction

[0051] The present invention provides a method and system for recognizing independent finger movements based on muscle signals. In order to make the purpose, technical solution and effect of the present invention clearer and clearer, the present invention will be further described in detail below. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0052] see figure 1 , figure 1 It is a flow chart of a preferred embodiment of a method for recognizing independent finger movements based on muscle signals of the present invention, as shown in the figure, which includes steps:

[0053] S100. The device side collects the MMG signal in real time through the sensor;

[0054] S110, using low-power bluetooth technology to transmit the collected MMG signal to the smart terminal in real time;

[0055] S120. After receiving the MMG signal, the smart terminal sequentially performs denois...

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Abstract

The invention discloses a finger independent action recognition method and system based on an MMG signal, wherein the method comprises the following steps that an equipment side performs real-time collection on the MMG signal through a sensor; a low-power-consumption Bluetooth technology is used for transmitting the collected MMG signal to an intelligent terminal in real time; after the intelligent terminal receives the MMG signal, the MMG signal is sequentially subjected to denoising, signal section extraction, feature extraction and sequencing, mode recognition processing; the recognition result is obtained and output. Through the method and the system, the simultaneous real-time recognition on single finger action of five fingers on the basis of the MMG signal can be realized; the recognition rate is as high as 93.1 percent.

Description

technical field [0001] The invention relates to the technical field of biological signal recognition, in particular to a method and system for recognizing independent finger movements based on muscle movement signals. Background technique [0002] Mechanomyograph (MMG)-based hand motion recognition technology, as a new type of human-machine interface technology that can be applied to artificial limb control, virtual reality rehabilitation training and other fields, has been widely used in academia and industry in recent years. Pay attention and research, and there are tons of jobs popping up. However, most of the existing hand motion recognition technologies with similar principles are based on electromyography (EMG) or the combination of EMG and muscle signals to realize hand motion recognition, and only rely on MMG signals. The current state of research on hand motion recognition is still mainly focused on the recognition of some large hand motions, such as the recognitio...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F3/01
CPCG06F3/015
Inventor 但果何清丁惠君陈子豪董磊陈思平
Owner SHENZHEN UNIV
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