Publication: Robotic arm controller using muscular contraction classification based on independent component analysis
| dc.contributor.author | Chanwimalueang T. | |
| dc.contributor.author | Sueaseenak D. | |
| dc.contributor.author | Laoopugsin N. | |
| dc.contributor.author | Pintavirooj C. | |
| dc.date.accessioned | 2021-04-05T04:31:57Z | |
| dc.date.available | 2021-04-05T04:31:57Z | |
| dc.date.issued | 2008 | |
| dc.date.issuedBE | 2551 | |
| dc.description.abstract | We develop a multi-channel electromyogram acquisition system base on the Programmable System On Chip (PSOC) microcontroller to control Robotic Arm. The array of 4 × 4 surface electrodes which invents from the low-cost EKG electrodes is used as the input sensor. B-spline interpolation technique has been utilized to map the EMG signal on the muscle surface. The topological mapping of the EMG is then analyzed to classify the pattern of muscle contraction. The proposed system was successfully demonstrated to record EMG data and its surface mapping. The muscular-contraction classification of mapping is then applied using independent component analysis. The classification result is then applied to control the movement of the robotic arm. © 2008 IEEE. | |
| dc.format.mimetype | application/pdf | |
| dc.identifier.citation | 5th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology, ECTI-CON 2008. Vol 2, (2008), p.641-644 | |
| dc.identifier.doi | 10.1109/ECTICON.2008.4600515 | |
| dc.identifier.other | 2-s2.0-52949131908 | |
| dc.identifier.uri | https://hdl.handle.net/20.500.14740/3882 | |
| dc.rights.holder | Scopus | |
| dc.subject.other | Classification (of information) | |
| dc.subject.other | Conformal mapping | |
| dc.subject.other | Electrodes | |
| dc.subject.other | Information technology | |
| dc.subject.other | Metallizing | |
| dc.subject.other | Muscle | |
| dc.subject.other | Robotic arms | |
| dc.subject.other | Robotics | |
| dc.subject.other | Robots | |
| dc.subject.other | Shrinkage | |
| dc.subject.other | Splines | |
| dc.subject.other | Technology | |
| dc.subject.other | Technology transfer | |
| dc.subject.other | Telecommunication systems | |
| dc.subject.other | Acquisition systems | |
| dc.subject.other | B-spline interpolation technique | |
| dc.subject.other | Electromyogram | |
| dc.subject.other | EMG | |
| dc.subject.other | EMG signals | |
| dc.subject.other | ICA | |
| dc.subject.other | Independent components | |
| dc.subject.other | Input sensor | |
| dc.subject.other | International conferences | |
| dc.subject.other | Micro-controller | |
| dc.subject.other | Multi channels | |
| dc.subject.other | Muscle contractions | |
| dc.subject.other | Muscular contraction | |
| dc.subject.other | PCA | |
| dc.subject.other | Programmable system-on-chip | |
| dc.subject.other | Robotic Arm | |
| dc.subject.other | Surface electrodes | |
| dc.subject.other | Surface mapping | |
| dc.subject.other | Topological mapping | |
| dc.subject.other | Independent component analysis | |
| dc.title | Robotic arm controller using muscular contraction classification based on independent component analysis | |
| dc.type | Conference Paper | |
| dspace.entity.type | Publication | |
| swu.datasource.scopus | https://www.scopus.com/inward/record.uri?eid=2-s2.0-52949131908&doi=10.1109%2fECTICON.2008.4600515&partnerID=40&md5=2188bf5ab062eddd8c385d8dfe59071f |
