Gesture identification method based on surface electromyogram signal and accelerated speed
A gesture recognition and myoelectric signal technology, applied in the field of human-computer interaction, can solve the problems of inconvenient operation, high cost, and complicated equipment wearing, etc., and achieve the effect of large motion recognition range, high accuracy and strong anti-interference
Inactive Publication Date: 2018-07-10
广州映博智能科技有限公司
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[0007] The purpose of the present invention is to overcome the deficiencies of the prior art, especially to solve the problems of complicated equipment wear, high cost, and inconvenient operation and use in the existing gesture interaction technology based on the data glove sensor
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[0015] The present invention will be described in more detail and complete below in conjunction with the accompanying drawings and specific embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, but not to limit the present invention.
[0016] see figure 1 , a gesture recognition method based on surface electromyography signals and acceleration in an embodiment of the present invention, the method includes S1 activity segment extraction, S2 feature extraction, and S3 classification and recognition operations, wherein:
[0017] S1 activity segment extraction, find out the active segment according to the strength of the signal, and eliminate the slight actions performed by the user unintentionally and the actions performed continuously for a long time according to the length of the active segment, and roughly divide the gestures into two types: small amplitude and large amplitude; The specific descriptio...
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The invention provides a gesture identification method based on a surface electromyogram signal and an accelerated speed. The method comprises the following steps of S1, carrying out active segment extraction, according to signal strength, finding an active segment, and roughly dividing gesture motion into a small amplitude and a large amplitude; S2, carrying out characteristic extraction, and extracting the accelerated speed and an electromyographic characteristic; and S3, carrying out classification identification operation, according to the extracted characteristic, fusing the electromyographic characteristic and an accelerated speed characteristic into a same dimensions, and using template matching to realize classification. In the scheme, a surface electromyogram sensor and an accelerated speed sensor are used to collect the motion gestures of the user, the surface electromyogram signal is used to identify small amplitude gesture motion, an accelerated speed signal is used to identify large amplitude motion, and a signal fusion mode is used to realize gesture motion identification; and a motion identification range is large, accuracy is high and anti-interference performance is good.
Description
technical field [0001] The invention relates to the field of human-computer interaction, in particular to a gesture recognition method based on surface electromyographic signals and acceleration. Background technique [0002] In order to help the disabled / elderly maintain communication and communication with the outside world, improve their independent living ability, and reduce the burden on the family and society, many scientists around the world have begun to explore new ways of human-computer interaction. The so-called interaction technology includes the interaction between human and actuators (such as robots, etc.) and the interaction between actuators and the environment. The significance of the former is that humans can implement planning and decision-making that are difficult for executive agencies in unknown or uncertain environments; the significance of the latter is that robots can complete tasks in harsh environments or remote environments that humans cannot reac...
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IPC IPC(8): G06K9/00G06K9/62
CPCG06V40/28G06F2218/08G06F2218/12G06F18/24G06F18/253
Inventor 钟鸿飞覃争鸣杨旭
Owner 广州映博智能科技有限公司