Estimation of Arm Movement from the Neural Activities of the Primary Motor Cortex

被引：0

作者：

Choi, Kyuwan ^{[1
,5
]}

Hirose, Hideaki ^{[3
,5
]}

Sakurai, Yoshio ^{[4
,5
]}

Iijima, Toshio ^{[3
,5
]}

Koike, Yasuharu ^{[2
,5
]}

机构：

[1] RIKEN, Brain Sci Inst, Tokyo, Japan

[2] Tokyo Inst Technol, Precis & Intelligence Lab, Tokyo, Japan

[3] Tohoku Univ, Grad Sch Life Sci, Tohoku, Japan

[4] Kyoto Univ, Grad Sch Letters, Kyoto, Japan

[5] JST CREST, Esher, England

来源：

PROCEEDINGS OF THE 8TH WSEAS INTERNATIONAL CONFERENCE ON RECENT ADVANCES IN SIGNAL PROCESSING, ROBOTICS AND AUTOMATION | 2009年

关键词：

BMI; EMG; Neural activity; M1; arm movement; DIRECTION; MUSCLE; NEURONS;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

We succeeded in reconstructing muscle activities from neural activities and in reconstructing joint angles during static condition. However, the reconstructed joint angles during movement did not have a good correlation with the real joint angles. Therefore, we adopted a servo mechanism to compensate for the error in the joint angles. This error mainly arises due to muscle properties such as the velocity-tension relationship or the length-tension relationship. In order to overcome the limitations due to these muscle properties, we divided an artificial neural network into two networks-one for movement control and one for posture control. We also trained the gating network to switch between the two neural networks. As a result, the gating network switched the modules properly, and the accuracy of the estimated angles improved.

引用

页码：104 / +

页数：3

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