Research onaThrowing Multidimensional ForceSensing System forAdvanced Training ofShot-Put Athletes

Inthis paper, wedevelop a novel digital-shot skeleton mobility isproposed. In(3),theshotslanting system forsensing thethrowing force information ofshot-putthrowing movementwascalculated by non-linear curve athletes inrealtime. Thedigital-shot hasbeendesigned and fitting, momentumbalance equation, multiple regression manufactured withthesameexternal dimensions andweight as analysis, fuzzy synthesized logic,and so on.MontHubbard thenormalshotforopenfemales. Thethreeaxesintegrated . accelerometer, asacrucial device intheforce sensing system, can (2001)tookthethrower limitations intoaccount, and acquire thekinetics dataalong three orthogonal directions with considered that whentheshotwasreleased aboveahorizontal reasonably highaccuracy. Byusing themethodofwaveletplane, range fromthispoint depended onrelease height, speed transformation, thecharacteristics ofacceleration signals duringandangle. Optimal release conditions canbecalculated only if theshot-put period canbeextracted. Artificial neural network is thedependence ofrelease velocity onother variables isknown adopted torecognise themovementpattern indifferent phases of (4). shotthrowing. Forsupplying moreeffective training instruction,Ashumanbodyisacomplex gigantic system (5), many withthehelpofsixaxesgroundreaction forcemeasuringfactors should betaken intoaccount forwellanalyzing the apparatus, high-speed photography and surface electromyo-behavior ofskilled shot-putter. Theabovesolutions tryto graphicsignal remotemeasuring deviceetc,an integratedconstruct thewholehumanbodymodelorpartial bodymodel platformof shot-putathletebiomechanical information acquisition isconstructed. Basedonthefusion ofmulti-targets bysometraditional techniques orpuremathematics means. andmulti-parameters information, theshot-put athletes coachingButastheinsufficiency oftheinformation acquiring methods, system isproposed, whichnotonlycansupply constructive especially thelackofkinetics data, theerrorcan't beavoided guidance forathletes toimprove their skills, butalsoprovide a moreorless. Inthis research, athrowing multi-dimensional newresearch platform ofmotion humanmodeling. forcesensing systemisdeveloped toacquire kinetic data