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Multichannel physiological signal somatosensory gesture recognition method based on PSO-PCA-SVM

A PSO-PCA-SVM, physiological signal technology, applied in the field of gesture recognition, can solve the problems of strong privacy intrusion, can not fully meet the somatosensory gesture recognition, limited observation range, etc.

Active Publication Date: 2020-07-31
JINLING INST OF TECH
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  • Abstract
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  • Claims
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AI Technical Summary

Problems solved by technology

[0003] The traditional method uses computer vision-based somatosensory recognition technology. However, this method cannot fully meet the needs of somatosensory gesture recognition due to strong privacy intrusion, limited observation range, and easy to be affected by various factors such as lighting conditions and occlusions.
With the development of sensor technology, sensor-based somatosensory gesture recognition is becoming more and more common. For example, kinect is used to obtain depth images and bone information to recognize somatosensory gestures. It has made great progress in gesture recognition, but kinect is still affected by the occlusion environment. influences

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  • Multichannel physiological signal somatosensory gesture recognition method based on PSO-PCA-SVM
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  • Multichannel physiological signal somatosensory gesture recognition method based on PSO-PCA-SVM

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Embodiment Construction

[0047] Below in conjunction with accompanying drawing and specific embodiment the present invention is described in further detail:

[0048] The invention provides a multi-channel physiological signal somatosensory gesture recognition method based on PSO-PCA-SVM. After using the method, the recognition accuracy is high, the real-time performance is good, and the recognition robustness is good.

[0049] As an embodiment of the present invention, the flow chart of the multi-channel physiological signal somatosensory gesture recognition method based on PSO-PCA-SVM is as follows figure 1 , the optimal model training algorithm for multi-channel physiological signal somatosensory gesture recognition based on PSO optimization PCA-SVM is as follows: figure 2 As shown, the support vector machine model is as image 3 As shown, the specific steps are as follows.

[0050] Step1: Collect the original samples of human physiological signals

[0051] The present invention selects physiolo...

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Abstract

The invention discloses a multichannel physiological signal somatosensory gesture recognition method based on PSO-PCA-SVM. The method comprises the steps: 1, collecting a human body physiological signal original sample; 2, extracting physiological signal features; 3, extracting key features through principal component analysis; 4, establishing a multi-channel physiological signal somatosensory gesture SVM recognition model; 5, performing PSO optimization training on a multichannel physiological signal somatosensory gesture PCA and SVM recognition model. The invention provides a multichannel physiological signal somatosensory gesture recognition method based on PSO-PCA-SVM. After the method is used, the recognition precision is high, the real-time performance is good, and the recognition robustness is good.

Description

technical field [0001] The invention belongs to the field of gesture recognition, in particular to a multi-channel physiological signal somatosensory gesture recognition method based on PSO-PCA-SVM. Background technique [0002] With the development of the economy and the improvement of the level of science and technology, Tangible Interaction (Tangible Interaction), as a new type of interactive mode rich in behavioral capabilities, is changing people's understanding of traditional product design and exploring new behaviors. Somatosensory interaction is an interactive method that directly uses body movements, voices, eye movements, etc. to interact with surrounding devices or environments, which greatly improves people's quality of life. Only when the interactive system recognizes people's somatosensory gestures can it perform the functions people want to achieve. Therefore, somatosensory gesture recognition technology is an important part of somatosensory interaction, but i...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/62G06N3/00
CPCG06N3/006G06V40/28G06F2218/08G06F18/2135G06F18/2411G06F18/214
Inventor 杨忠宋爱国徐宝国杨荣根王莹莹
Owner JINLING INST OF TECH
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