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| Content Provider | Springer Nature Link |
|---|---|
| Author | Lee, Jae Young Khan, Abdul Manan Jang, Hye Youn Han, Jung Soo Han, Chang Soo |
| Copyright Year | 2014 |
| Abstract | Prior to developing the wearable walking assistant robot that supports walking for hemiplegia patients, a neural oscillator, a type of CPG (central pattern generation), was applied to 2-DOF double pendulum, which can replace the leg of a robot. The walking pattern generation method was proposed using the gait pattern of the non-affected side of hemiplegia patients. Because it is difficult for hemiplegia patients to distinguish the intended action signal of the patient wearing a robot on their affected side, we had to utilize a limited amount of information to get the maximum effect. We needed an effective solution for robot control in an outside environment where many unknown disturbances exist. In order to deal with these two problems, we used a nonlinear oscillator with a double pendulum as a test bed to explore the possibility of producing a robot walking pattern. |
| Starting Page | 1675 |
| Ending Page | 1680 |
| Page Count | 6 |
| File Format | |
| ISSN | 22347593 |
| Journal | International Journal of Precision Engineering and Manufacturing |
| Volume Number | 15 |
| Issue Number | 8 |
| e-ISSN | 20054602 |
| Language | English |
| Publisher | Korean Society for Precision Engineering |
| Publisher Date | 2014-08-08 |
| Publisher Place | Springer |
| Access Restriction | One Nation One Subscription (ONOS) |
| Subject Keyword | Double pendulum Hemiplegia patient Neural oscillator Walking pattern generation Industrial and Production Engineering Materials Science |
| Content Type | Text |
| Resource Type | Article |
| Subject | Industrial and Manufacturing Engineering Mechanical Engineering Electrical and Electronic Engineering |
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