Please use this identifier to cite or link to this item: https://ir.swu.ac.th/jspui/handle/123456789/14830
ชื่อเรื่อง: Robotic arm controller using muscular contraction classification based on independent component analysis
ผู้แต่ง: Chanwimalueang T.
Sueaseenak D.
Laoopugsin N.
Pintavirooj C.
Keywords: Classification (of information)
Conformal mapping
Electrodes
Information technology
Metallizing
Muscle
Robotic arms
Robotics
Robots
Shrinkage
Splines
Technology
Technology transfer
Telecommunication systems
Acquisition systems
B-spline interpolation technique
Electromyogram
EMG
EMG signals
ICA
Independent components
Input sensor
International conferences
Micro-controller
Multi channels
Muscle contractions
Muscular contraction
PCA
Programmable system-on-chip
Robotic Arm
Surface electrodes
Surface mapping
Topological mapping
Independent component analysis
วันที่เผยแพร่: 2008
บทคัดย่อ: 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.
URI: https://ir.swu.ac.th/jspui/handle/123456789/14830
https://www.scopus.com/inward/record.uri?eid=2-s2.0-52949131908&doi=10.1109%2fECTICON.2008.4600515&partnerID=40&md5=2188bf5ab062eddd8c385d8dfe59071f
Appears in Collections:Scopus 1983-2021

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