4、ract:Action pattern recognitionoflimbsusingsEMGisthebasis for bioniccontrolofaprosthetichand. Inconsiderationofthegeneration mechanismofsEMG,theapproximate entropyandthefractaldimension,which featurethesEMG’smorphologicalcharacteristicsincludingcomplexityandoverallself-simil
5、arity, waschosenasthe featurevector ofpatternrecognitiontoimproveactionmoderecognitionrate. Inthemeantime,a K Nearest Neighbor (KNN)modelincrementallearningmethod with incrementallearningability,was presented as a classifierofpatternrecognition.Inpatternrecognitionexperim
6、entofclassifyingfourfine movements ofthewrist(namelywristextension,wristflexion,wristpronation,wristsupination)with10participants,thecorrectmoderecognitionrateisabove92.5%. In a contrastexperimentthat wasdesignedtoevaluatethe effectsof theincrementlearningabilitytothe actio