Fault detection in race-walking has been a topic of discussion each and every time a major sport event like Olympics is on display. Hence many attempts have been made accurately detect the bent knee and loss of contact during the event. Here we discuss a cost-effective method using graphical programming to accurately detect the loss of contact during the training sessions in university athletes. A piezo-electric sensor system in implemented together with NI-myRIO. We differentiated walking, running and race-walking patterns with the help of histograms of peak time differences between main peaks and sub-peaks.
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