EXSS2029 Lecture Notes - Lecture 6: Time Series, Sports Science, Human Factors And Ergonomics

• School: University of Sydney
• Department: Exercise and Sport Science
• Course: EXSS2029
• Professor: Amanda Semaan

Document Summary

Errors: systematic errors: eg. filming (perspective, parallax, calibration) or errors in marker position (location or moving with skin) Fixed by being careful: random errors (eg. noise digitising, rounding errors) Signal is any property that varies with time and carries information. Amplitude: how much the signal changes in size (height of vertical axis) Frequency: how fast signal changes (oscillations per second) Calculate amplitude/size of each frequency present in a signal (importance of frequencies that make up a signal. For example emg (electrical signals from neurons in muscles) Error in measurement = more velocity based errors at higher frequencies, more errors during acceleration (need filtering) Usually measure at 5hz or less (frequency) Low pass filter: removes high frequencies (noise) by letting low frequencies through. Filtering methods: digital filter formula applied to data (eg. butterworth, polynomial curve) Noise: errors at high frequencies of 30hz or higher) Measurement of low frequencies (eg. walking at 5hz, running 12hz)