Assembly operation action recognition method based on static and dynamic separation

The invention discloses an assembly operation action recognition method based on static and dynamic separation, and the method specifically comprises the steps: collecting an action gesture, and dividing original data corresponding to the action gesture into a training sample and a recognition sampl...

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Bibliographische Detailangaben
Hauptverfasser: WAN PENG, GAO XINQIN, YANG MINGSHUN, QIAO QI, LI BINPENG, SHI SHENGRUI, LIU YONG, WANG XIANG
Format: Patent
Sprache:chi ; eng
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Zusammenfassung:The invention discloses an assembly operation action recognition method based on static and dynamic separation, and the method specifically comprises the steps: collecting an action gesture, and dividing original data corresponding to the action gesture into a training sample and a recognition sample; carrying out effective data segment extraction on the collected original data of the action gesture; calculating a feature threshold value according to the action gestures in the training sample, and dividing the action gestures in the recognition sample according to the feature threshold value;and respectively inputting the characteristic values of the posture invariant gesture and the posture variable gesture in the divided identification samples into a KNN identification model and a GMM-HMM identification model for training to respectively obtain identification models of the posture invariant gesture and the posture variable gesture. According to the method, the characteristic valuesof the two gestures with i