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

Research output: Contribution to book/conference proceedings/anthology/reportConference contributionContributedpeer-review

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

Original languageEnglish
Title of host publication2022 International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME)
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1-6
ISBN (electronic)978-1-6654-7095-7
ISBN (print)978-1-6654-7096-4
Publication statusPublished - 2022
Peer-reviewedYes

Publication series

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

Conference

Title2022 International Conference on Electrical, Computer, Communications and Mechatronics Engineering, ICECCME 2022
Duration16 - 18 November 2022
CityMale
CountryMaldives

External IDs

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