Intention-based control for powered exoskeleton
Electromyogram is a technique to map a graph according to the activation signal of muscles. Intention-based control for power exoskeleton is aimed to allow operator to use exoskeleton with ease. Surface electromyogram (SEMG) sensor is used. When selected muscle contract, a motion is performed. In...
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| Other Authors: | |
| Format: | Final Year Project (FYP) |
| Language: | English |
| Published: |
2017
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| Online Access: | http://hdl.handle.net/10356/72018 |
| _version_ | 1811683180747423744 |
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| author | Chou, Po Yang |
| author2 | Low Kin Huat |
| author_facet | Low Kin Huat Chou, Po Yang |
| author_sort | Chou, Po Yang |
| collection | NTU |
| description | Electromyogram is a technique to map a graph according to the activation signal of muscles.
Intention-based control for power exoskeleton is aimed to allow operator to use exoskeleton with ease. Surface electromyogram (SEMG) sensor is used. When selected muscle contract, a motion is performed.
In this project, it is focused on the “sit and stand” and “walking” motions. In walking motion, it is further broken down into stance phase and swing phase. Experiments were conducted to study the relationship between joint angles, by using IMU and motor angles, and SEMG signals. Finally, real-time experiments were conducted by combining the sensors to the exoskeletons.
This report summarizes how SEMG signals are selected and used to trigger the exoskeleton. |
| first_indexed | 2024-10-01T04:08:38Z |
| format | Final Year Project (FYP) |
| id | ntu-10356/72018 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T04:08:38Z |
| publishDate | 2017 |
| record_format | dspace |
| spelling | ntu-10356/720182023-03-04T18:17:25Z Intention-based control for powered exoskeleton Chou, Po Yang Low Kin Huat School of Mechanical and Aerospace Engineering DRNTU::Engineering::Mechanical engineering Electromyogram is a technique to map a graph according to the activation signal of muscles. Intention-based control for power exoskeleton is aimed to allow operator to use exoskeleton with ease. Surface electromyogram (SEMG) sensor is used. When selected muscle contract, a motion is performed. In this project, it is focused on the “sit and stand” and “walking” motions. In walking motion, it is further broken down into stance phase and swing phase. Experiments were conducted to study the relationship between joint angles, by using IMU and motor angles, and SEMG signals. Finally, real-time experiments were conducted by combining the sensors to the exoskeletons. This report summarizes how SEMG signals are selected and used to trigger the exoskeleton. Bachelor of Engineering (Mechanical Engineering) 2017-05-23T07:44:31Z 2017-05-23T07:44:31Z 2017 Final Year Project (FYP) http://hdl.handle.net/10356/72018 en Nanyang Technological University 67 p. application/pdf |
| spellingShingle | DRNTU::Engineering::Mechanical engineering Chou, Po Yang Intention-based control for powered exoskeleton |
| title | Intention-based control for powered exoskeleton |
| title_full | Intention-based control for powered exoskeleton |
| title_fullStr | Intention-based control for powered exoskeleton |
| title_full_unstemmed | Intention-based control for powered exoskeleton |
| title_short | Intention-based control for powered exoskeleton |
| title_sort | intention based control for powered exoskeleton |
| topic | DRNTU::Engineering::Mechanical engineering |
| url | http://hdl.handle.net/10356/72018 |
| work_keys_str_mv | AT choupoyang intentionbasedcontrolforpoweredexoskeleton |