计算机应用与软件2024，Vol.41Issue(8)：101-107,7.DOI:10.3969/j.issn.1000-386x.2024.08.014
基于筋骨假人和意图标注的躯干肌电预测结果校正
CALIBRATION OF PREDICTION RESULTS OF TRUNK EMG BASED ON MUSCULOSKELETAL MANNEQUIN AND INTENTION LABELING
摘要
Abstract
Prediction of trunk muscle electromyography(EMG)has great application potential in the field of man-machine interaction.However,the control modes of the trunk muscles alternate with human intentions,hand operations,balance conditions and other factors,which undermines the mapping relationship between motion signals and EMG signals.Therefore,it is difficult to realize the high-precision prediction of the trunk EMG.In order to achieve EMG prediction corresponding to the intentions,the EMG signals of a group of paravertebral muscles and motion signals were measured during preset flexion-extension tasks.The multi-dimensional EMG signals of paravertebral muscles were transformed into action vectors composed of Two-step Clustering numbers.The action vectors were used as the input of BiLSTM-CRF algorithm to realize the tagging of trunk muscle actions during different periods,and the musculoskeletal mannequin was used to calibrate the trunk EMG prediction results.The calibration results can reflect the intention of the trunk,the hands and the individual characteristics.关键词
椎旁肌/动作意图/两步聚类/双向长短时神经网络/肌电Key words
Paravertebral muscles/Action intention/Two-step clustering/Bidirectional long and short-term neural network/Electromygraphy分类
信息技术与安全科学引用本文复制引用
王琦,周志勇..基于筋骨假人和意图标注的躯干肌电预测结果校正[J].计算机应用与软件,2024,41(8):101-107,7.基金项目
国家自然科学基金项目(61802247) （61802247）
闵行区重大科技攻关项目(2018MH208). （2018MH208）
