KALICHOVÁ, Miriam. Accelerometer data processing in analyzing high bar exercises. In SignalPlant Workshop 2019. 2019.
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Basic information
Original name Accelerometer data processing in analyzing high bar exercises
Authors KALICHOVÁ, Miriam (203 Czech Republic, guarantor, belonging to the institution).
Edition SignalPlant Workshop 2019, 2019.
Other information
Original language English
Type of outcome Requested lectures
Field of Study 10201 Computer sciences, information science, bioinformatics
Country of publisher Czech Republic
Confidentiality degree is not subject to a state or trade secret
RIV identification code RIV/00216224:14510/19:00111366
Organization unit Faculty of Sports Studies
Keywords in English autocorrelation; FFT; Signalplant; vibrations
Tags rivok
Changed by Changed by: Mgr. Miriam Kalichová, Ph.D., učo 54151. Changed: 16/11/2019 22:13.
Abstract
The lecture deals with the possibilities of signal processing in SignalPlant recorded by an accelerometer during exercises on the horizontal bar.FFT functions, equations evaluation, average curve, autocorrelation and crosscorrelation are explained.
Links
MUNI/A/1060/2018, interní kód MUName: Individualizace nastavení pružnosti gymnastické hrazdy jakožto faktor ovlivňující výkon (Acronym: HRAZDA)
Investor: Masaryk University, Category A
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