Robotic arm controller using muscular contraction classification based on independent component analysis

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dc.contributor.authorChanwimalueang, T.
dc.contributor.authorSueaseenak, D.
dc.contributor.authorLaoopugsin, N.
dc.contributor.authorPintavirooj, C.
dc.date.accessioned2026-08-06T09:57:00Z
dc.date.available2026-08-06T09:57:00Z
dc.date.issued2008-10-06
dc.description.abstractWe 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.identifier.citation5th International Conference on Electrical Engineering Electronics Computer Telecommunications and Information Technology Ecti Con 2008, 2, 641-644, 2008
dc.identifier.doi10.1109/ECTICON.2008.4600515
dc.identifier.other2-s2.0-52949131908
dc.identifier.urihttps://dspace.kmitl.ac.th/handle/123456789/2110
dc.source5th International Conference on Electrical Engineering Electronics Computer Telecommunications and Information Technology Ecti Con 2008
dc.subjectEMG
dc.subjectICA
dc.subjectPCA
dc.subjectRobotic Arm
dc.titleRobotic arm controller using muscular contraction classification based on independent component analysis
dc.typeConference Paper

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