Detection of Human-Performance-Indicators with an intelligent seat post

Publikation: Beitrag in Buch/Konferenzbericht/Sammelband/GutachtenBeitrag in KonferenzbandBeigetragenBegutachtung

Abstract

In the recent past new technologies have made a major contribution to improve the performance of athletics. Nevertheless, conventional solutions for athlete training development and analysis mainly rely on physical performance metrics, such as the amount of covered tracks and durations. Little has been done to monitor the quality of the physical motion and actions. This limitation stems from lacking suitable qualitative metrics and measurement systems. This paper investigates a new approach towards human activity recognition for individual performance analysis, leveraging sensor data from Inertial Measurement Units (IMUs). We show how to integrate sensors into the seat post of a bicycle and that it is possible to derive human performance indicators. The results of this study encourage the further exploitation of our method to analyze how cyclists behave while riding.

Details

OriginalspracheEnglisch
Titel2022 International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME)
Herausgeber (Verlag)Institute of Electrical and Electronics Engineers Inc.
Seiten1-6
ISBN (elektronisch)978-1-6654-7095-7
ISBN (Print)978-1-6654-7096-4
PublikationsstatusVeröffentlicht - 2022
Peer-Review-StatusJa

Publikationsreihe

ReiheInternational Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME)

Konferenz

Titel2022 International Conference on Electrical, Computer, Communications and Mechatronics Engineering, ICECCME 2022
Dauer16 - 18 November 2022
StadtMale
LandMalediven

Externe IDs

ORCID /0000-0001-7008-1537/work/158767455
ORCID /0000-0001-8469-9573/work/161891118

Schlagworte