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Analyzing Exercise Repetitions: YOLOv8-Enhanced Dynamic Time Warping Approach on InfiniteRep Dataset

; ; ;

In
Sensor-Based Activity Recognition and Artificial Intelligence : 9th International Workshop, iWOAR 2024, Potsdam, Germany, September 26–27, 2024, Proceedings / edited by Orhan Konak, Bert Arnrich, Gerald Bieber, Arjan Kuijper, Sebastian Fudickar, Seiten/Artikel-Nr: 94-110

Konferenz/Event:Sensor-Based Activity Recognition and Artificial Intelligence : 9. International Workshop , Potsdam , Germany , iWOAR 2024 , 2024-09-26 - 2024-09-27

ImpressumCham : Springer Nature Switzerland

Umfang94-110

ISBN978-3-031-80855-5, 978-3-031-80856-2, 978-3-031-80857-9

ReiheLecture Notes in Computer Science ; 15357

Online
DOI: 10.1007/978-3-031-80856-2_7


Einrichtungen

  1. Lehrstuhl für Informationssysteme und Datenbanken (Informatik 5) (124510)
  2. Fachgruppe Informatik (120000)



Dokumenttyp
Contribution to a book/Contribution to a conference proceedings

Format
online, print

Sprache
English

Externe Identnummern
SCOPUS: SCOPUS:2-s2.0-85219189449

Interne Identnummern
RWTH-2025-01435
Datensatz-ID: 1004437

Beteiligte Länder
Germany

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NationallizenzNationallizenz ; SCOPUS
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Document types > Events > Contributions to a conference proceedings
Document types > Books > Contributions to a book
Faculty of Mathematics, Computer Science and Natural Sciences (Fac.1) > Department of Computer Science
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Publications database
120000
124510
 Record created 2025-02-11, last modified 2025-07-01
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