Data Analysis Of Gait Signals Of Patients To Detect Possibility Of Parkinson Disease

Abstract

Gait analysis is used to assess and treat individuals with conditions affecting their ability to walk. It is also commonly used in sports biomechanics to help athletes run more efficiently and to identify posture-related or movement-related problems in people with injuries. Gait jpattern jisjuseful jforjunderstanding ja jpersonsjwalking jpattern jand perkinson disesease state. jThejgaitjisjhighlyjindividualjandjaffectedjbyjmanyjfactors jsuch jasjphysique, jage, jgender, jand jemotions. jFurthermore, jrecorded jgait jdatabasesjare jcharacterized jby jhighly jdimensional, jtemporally jdependent, jhighly jvariable, jand jnonlinear jdata jvectors. jDue jto jthese jreasons, jautomatic jrecognition jof jaffect jis ja jchallenge jfor jpattern jrecognition jalgorithms. jWithin jthis jwork, jpredictive jand jinferential jstatisticsjare jtheoretically jand jnumerically jcompared. jSimilaritiesjasjwell jas jdissimilaritiesjare jelaborated. jDifferent jfeature jextraction jtechniquesjand jstatic jasjwell jasjdynamic jclassification jmethodsjare jcompared jforjthe jrecognition jofjemotionsjin jgait jpatterns. jForjajsmalljnumberjofjtrainingjsamplesjandjhighlyjdimensionaljfeaturejvectors, jit jisjderived jthat jthe jdecision jbordersjof ja jnearest jneighbor jclassifier jcoincide jwith jthe jdecisionjbordersjofjajsupportjvectorjmachinej(SVM) that has implemented on Python 4. jFurthermore, jalgorithms jtrained jfor jindividuals jare jcompared jwith jalgorithms jnot jconsidering jthe jidentity jof jthe jwalker. jThis jwork jcontributes jto jthe jstate jof jthe jart jby jexploring jvariousjfacetsjofjpattern jrecognition jalgorithmsjforjgaitjanalysisjand jstudying jgait jas jmodality jfor jaffective jcomputing. jIt jprovides jvaluable jinsights jconcerning jthis jtopicjandjopensjvariousjperspectivesjforjfuturejwork. j