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A neural network-based electromyography motion classifier for upper limb activities

Journal of Innovative Optical Health Sciences 2016年第6期9卷 77-84页

作者： Karan Veer tanu sharma Ravinder Agarwal Electrical and Instrumentation Engineering Department Thapar University Computer Science Engineering Department GCET Ropar 174001India

The objective of the work is to investigate the classifcation of different movements based on the surface electromyogram(SEMG)pattern recognition method.The testing was conducted for four arm movements using several experiments with artificial neural network class fication scheme.Six time domain features were extracted and consequently dlassification was implemented using back propagation neural dassifier(BPNC).Further,the realization of projected network was verified using cross validation(CV)process;hence ANOVA algorithm was carried out.Performance of the network is analyzed by considering mean square error(MSE)value.A comparison was performed between the extracted feat ures and back propagation network results reported in the literature.The concurrent result indicates the significance of proposed network with classification accuracy(CA)of 100%recorded from two channels,while analysis of variance technique helps in investigating the effectiveness of classified sigmal for recognition tasks.

关键词： ANN SEMG arm recognition statistics classification RMS upper arm activities

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Development of prosthetic arm using body actioned SEMG signals

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Journal of Innovative Optical Health Sciences 2016年第6期9卷 58-65页

作者： Karan Veer tanu sharma Amod Kumar EIED Department Thapar UniversityPatialaIndia CSED Department Global College of EngineeringKhanpur KuiIndia Chief Scientist CSIO-CSIRChandigarhIndia

People's working capability is badly affected when they sufer an amputated arm.Artifcial replacements with prosthetic devices to get a satisfactory level of performance for essential functions with the currently available prosthetic technology are very dificult.Myoelectric arm prostheses are becoming popular because they are operated by a natural contraction of intact muscles.Hence,SEMG based artifdal arm was fabricated.The system cousists of diferent electronic and mechanical assemblies for operation of hand utilizing microcontroller in order to have minimum signal loss during its processing.With the hep of relay switching connected to low power DC motor,system is capable of opening and closing of grip according to individual wish.

关键词： SEMG electrodes variable gripping myoelectric controls electronic interface signals processing.

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