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A novel gesture recognition method

A gesture recognition and classification recognition technology, applied in the field of human-computer interaction, can solve the problems of complex wearing of equipment, high cost, and inconvenient operation for users, and achieve the effects of strong anti-interference, high accuracy, and large range of motion recognition

Inactive Publication Date: 2019-06-18
广州映博智能科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[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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Embodiment Construction

[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 new gesture recognition method in the embodiment of the present invention, the method includes S1 activity segment extraction, S2 feature extraction, 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 description is as follows:

[0018] When extracting the active segm...

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Abstract

The invention provides a new gesture recognition method which comprises the following steps: S1, extracting an active segment, finding the active segment according to the signal intensity amplitude, and coarsely dividing gesture actions into a small-amplitude class and a large-amplitude class; S2, feature extraction: extracting acceleration and myoelectric features; And S3, classification and identification operation: according to the extracted features, fusing the myoelectric features and the acceleration features under the same dimension, and using template matching to realize classification.

Description

technical field [0001] The invention relates to the field of human-computer interaction, in particular to a new gesture recognition method. 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 reach. [0003] Traditional human-computer interaction devi...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F3/01
Inventor 覃争鸣钟鸿飞李康
Owner 广州映博智能科技有限公司