Classification of Human Motion Data Based on Inertial Measurement Units in Sports: A Scoping Review

C Kranzinger, S Bernhart, W Kremser, V Venek… - Applied Sciences, 2023 - mdpi.com
Inertial measurement units (IMU) are widely used in sports applications to digitise human
motion by measuring acceleration and rotational velocity in three-dimensional space. A …

Modeling temporal sequences of cognitive state changes based on a combination of EEG-engagement, EEG-workload, and heart rate metrics

M Stikic, C Berka, DJ Levendowski, RF Rubio… - Frontiers in …, 2014 - frontiersin.org
The objective of this study was to investigate the feasibility of physiological metrics such as
ECG-derived heart rate and EEG-derived cognitive workload and engagement as potential …

[PDF][PDF] Generic features for biosignal classification

U Jensen, M Ring, B Eskofier - Sportinformatik 2012, 2012 - kops.uni-konstanz.de
The recent progress in sensor technology in terms of better signal acquisition, lower energy
consumption and higher integration ability paves the way for a variety of mobile data …

Classification methods can identify external constrains in swimming

R Grigoriou, T Nikodelis, D Kugiumtzis, I Kollias - Journal of Biomechanics, 2019 - Elsevier
The purpose of the present study is to examine whether the use of fins is identifiable based
on swimmers' technique and to find out technique-related features that depict fins' influence …

[PDF][PDF] Design Considerations and Application Examples for Embedded Classification Systems

U Jensen - 2016 - opus4.kobv.de
Zusammenfassung Tragbare Sportler-Assistenz-Systeme sind eine weit verbreitete
Technologie zur Leistungssteigerung im Sport. Die komplexe Signal-und Datenverarbeitung …

Putt swing and hit measurement using a wrist device

T Käsmä - 2015 - oulurepo.oulu.fi
Developing automated electronic training aids for sports has become more and more viable
in recent years. Modern smartphones provide ubiquitously available computing resources …