公开(公告)号：US11971319B2

公开(公告)日：2024-04-30

申请号：US17279639

申请日：2020-05-07

Applicant: QINGDAO TECHNOLOGICAL UNIVERSITY ,  XI'AN JIAOTONG UNIVERSITY

Inventor： Cheng Jun Chen ,  Kai Huang ,  Dong Nian Li ,  Shuai Zheng ,  Jun Hong

IPC: G01L3/02 ,  A61B5/00 ,  A61B5/389 ,  G01L5/24 ,  G06T11/20

CPC classification number: G01L5/24 ,  A61B5/389 ,  A61B5/6824 ,  A61B5/6831 ,  A61B5/7264 ,  G06T11/206

Abstract: A surface electromyography signal-torque matching method based on multi-segmentation parallel CNN model (MSP-CNN model), step 1: collecting torque signals and surface electromyography (sEMG) signals when tightening a bolt; step 2: dividing a range of a transducer by at least two granularities, generating a plurality of torque sub-ranges corresponding to the at least two granularities and labeling the plurality of torque sub-ranges with torque labels; step 3: generating sEMG graphs of the sEMG signals in each time window; step 4: determining the torque labels of each time window under each of the at least two granularities according to the torque sub-ranges that average values of torques fall in; step 5: establishing a sample set; step 6: building a MSP-CNN model, and training parallel independent CNN models with sample datasets; and step 7: inputting the sEMG signals of the operator during assembly into trained MSP-CNN model and identifying assembly torques.