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An Individual Finger Gesture Recognition System Based on Motion-Intent Analysis Using Mechanomyogram Signal

机译：基于运动学意图分析的个体手指姿势识别系统

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Huijun Ding; Qing He; Yongjin Zhou; Guo Dan; Song Cui;
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年度 2017
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1. An Individual Finger Gesture Recognition System Based on Motion-Intent Analysis Using Mechanomyogram Signal [J] . Huijun Ding, Qing He, Yongjin Zhou, Frontiers in Neurology . 2017,第2017期

机译：基于运动意图分析的机感图信号个体手指手势识别系统
2. Motion intent recognition of individual fingers based on mechanomyogram [J] . Ding Huijun, He Qing, Zeng Lei, Pattern recognition letters . 2017,第Mara1期

机译：基于机电图的单个手指运动意图识别
3. A Gesture Recognition System Based on Time Domain Features and Linear Discriminant Analysis [J] . Duan Feng, Ren Xina, Yang Yikang IEEE Transactions on Cognitive and Developmental Systems . 2021,第1期

机译：一种基于时域特征和线性判别分析的手势识别系统
4. A hybrid SVM/HMM based system for the state detection of individual finger movements from multichannel ECoG signals [C] . Onaran Ibrahim, Ince N. Firat, Cetin A. Enis, 2011 5th International IEEE/EMBS Conference on Neural Engineering . 2011

机译：基于混合SVM / HMM的系统，用于从多通道ECoG信号中检测单个手指的运动状态
5. Design of a recognition system for monitoring the depth of anesthesia, based on the autoregressive modeling and neural network analysis of the EEG signals. [D] . Sharma, Ashutosh. 1993

机译：基于EEG信号的自回归建模和神经网络分析，设计用于监测麻醉深度的识别系统。
6. An Individual Finger Gesture Recognition System Based on Motion-Intent Analysis Using Mechanomyogram Signal [O] . Huijun Ding, Qing He, Yongjin Zhou, 2017

机译：基于运动意图分析的机械手势信号个体手指手势识别系统
7. Analysis of the effectiveness of machine learning methods in the problem of gesture recognition based on the data of electromyographic signals [O] . Polina Sergeevna Kozyr, Anton Igorevich Saveliev 2021

机译：基于电拍摄信号数据的手势识别问题的机器学习方法的有效性分析

An Individual Finger Gesture Recognition System Based on Motion-Intent Analysis Using Mechanomyogram Signal

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