p 2019

Accelerometer data processing in analyzing high bar exercises

KALICHOVÁ, Miriam

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

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

Changed: 16/11/2019 22:13, Mgr. Miriam Kalichová, Ph.D.

Abstract

In the original language

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 MU
Name: Individualizace nastavení pružnosti gymnastické hrazdy jakožto faktor ovlivňující výkon (Acronym: HRAZDA)
Investor: Masaryk University, Category A