Surface electromyographic signal-based action pattern recognition method and device
An electromyographic signal and action pattern technology, applied in the field of rehabilitation and sports assistance systems, can solve the problem of difficult to accurately reflect the state of muscle activity and identify actions, and achieve the effect of accurate activity state.
Inactive Publication Date: 2018-07-10
上海术理智能科技有限公司
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Problems solved by technology
Most of the existing surface electromyographic signal analysis simply processes one or two channels of electromyographic signals, and it is difficult to accurately reflect the state of muscle activity and accurately identify corresponding actions
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[0033] Example embodiments will now be described more fully with reference to the accompanying drawings. Example embodiments may, however, be embodied in many forms and should not be construed as limited to the embodiments set forth herein; rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the concept of example embodiments to those skilled in the art. The same reference numerals denote the same or similar parts in the drawings, and thus their repeated descriptions will be omitted.
[0034] Furthermore, the described features, structures, or characteristics may be combined in any suitable manner in one or more embodiments. In the following description, numerous specific details are provided in order to give a thorough understanding of embodiments of the invention. However, those skilled in the art will appreciate that the technical solutions of the present invention may be practiced without one or more of the ...
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The present invention discloses a surface electromyographic signal-based action pattern recognition method and device and belongs to the computer information processing field. The method includes thefollowing steps that: a plurality of channels of surface electromyographic signals of a user are acquired; the feature data of each channel of surface electromyographic signals are extracted, whereinthe feature data comprise time-domain feature data and frequency-domain feature data; the feature data of the all channels of surface electromyographic signals are adopted to constitute a feature dataset; and the action mode of the user is recognized through the feature data set and a classifier model. With the surface electromyographic signal-based action pattern recognition method and device ofthe present invention adopted, the movement stated of muscles can be accurately reflected, and corresponding actions can be accurately recognized.
Description
technical field [0001] The present invention relates to the technical field of rehabilitation and sports assistance systems, in particular to a method and device for recognizing action patterns based on surface electromyographic signals. Background technique [0002] Electromyography (EMG, electromyography) is the source of electrical signals that generate muscle force. It is the superposition of action potentials of many motor units in muscles in time and space, reflecting the functional status of nerves and muscles. It is used in basic medical research and clinical diagnosis. It is widely used in rehabilitation engineering. In recent years, the research on surface electromyography (sEMG) has attracted more and more people's interest, and the detection and analysis of surface electromyography has become one of the hot issues in the fields of medicine and biomedical engineering. [0003] Surface electromyography (sEMG) is an important bioelectrical signal generated with mus...
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Login to View More IPC IPC(8): G06K9/00G06K9/62
CPCG06V40/10G06V40/15G06F18/285G06F18/2135G06F18/24155G06F18/214
Inventor 王伟峰王薇雷硕
Owner 上海术理智能科技有限公司