A Novel Macro-Micro Approach for Swimming Analysis in Main Swimming Techniques Using IMU Sensors.

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Etat: Public
Version: Final published version
Licence: CC BY 4.0
ID Serval
serval:BIB_A22B310A65AB
Type
Article: article d'un périodique ou d'un magazine.
Collection
Publications
Institution
Titre
A Novel Macro-Micro Approach for Swimming Analysis in Main Swimming Techniques Using IMU Sensors.
Périodique
Frontiers in bioengineering and biotechnology
Auteur⸱e⸱s
Hamidi Rad M., Gremeaux V., Dadashi F., Aminian K.
ISSN
2296-4185 (Print)
ISSN-L
2296-4185
Statut éditorial
Publié
Date de publication
2020
Peer-reviewed
Oui
Volume
8
Pages
597738
Langue
anglais
Notes
Publication types: Journal Article
Publication Status: epublish
Résumé
Inertial measurement units (IMU) are proven as efficient tools for swimming analysis by overcoming the limits of video-based systems application in aquatic environments. However, coaches still believe in the lack of a reliable and easy-to-use analysis system for swimming. To provide a broad view of swimmers' performance, this paper describes a new macro-micro analysis approach, comprehensive enough to cover a full training session, regardless of the swimming technique. Seventeen national level swimmers (5 females, 12 males, 19.6 ± 2.1 yrs) were equipped with six IMUs and asked to swim 4 × 50 m trials in each swimming technique (i.e., frontcrawl, breaststroke, butterfly, and backstroke) in a 25 m pool, in front of five 2-D cameras (four under water and one over water) for validation. The proposed approach detects swimming bouts, laps, and swimming technique in macro level and swimming phases in micro level on all sensor locations for comparison. Swimming phases are the phases swimmers pass from wall to wall (wall push-off, glide, strokes preparation, swimming, and turn) and micro analysis detects the beginning of each phase. For macro analysis, an overall accuracy range of 0.83-0.98, 0.80-1.00, and 0.83-0.99 were achieved, respectively, for swimming bouts detection, laps detection and swimming technique identification on selected sensor locations, the highest being achieved with sacrum. For micro analysis, we obtained the lowest error mean and standard deviation on sacrum for the beginning of wall-push off, glide and turn (-20 ± 89 ms, 4 ± 100 ms, 23 ± 97 ms, respectively), on shank for the beginning of strokes preparation (0 ± 88 ms) and on wrist for the beginning of swimming (-42 ± 72 ms). Comparing the swimming techniques, sacrum sensor achieves the smallest range of error mean and standard deviation during micro analysis. By using the same macro-micro approach across different swimming techniques, this study shows its efficiency to detect the main events and phases of a training session. Moreover, comparing the results of both macro and micro analyses, sacrum has achieved relatively higher amounts of accuracy and lower mean and standard deviation of error in all swimming techniques.
Mots-clé
lap segmentation, macro-micro analysis, sports biomechanics, swimming, wearable sensor
Pubmed
Web of science
Open Access
Oui
Création de la notice
08/02/2021 13:50
Dernière modification de la notice
08/08/2024 6:38
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