Literature DB >> 33520955

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

Mahdi Hamidi Rad1, Vincent Gremeaux2,3, Farzin Dadashi4, Kamiar Aminian1.   

Abstract

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.
Copyright © 2021 Hamidi Rad, Gremeaux, Dadashi and Aminian.

Entities:  

Keywords:  lap segmentation; macro-micro analysis; sports biomechanics; swimming; wearable sensor

Year:  2021        PMID: 33520955      PMCID: PMC7841373          DOI: 10.3389/fbioe.2020.597738

Source DB:  PubMed          Journal:  Front Bioeng Biotechnol        ISSN: 2296-4185


  5 in total

1.  SmartSwim, a Novel IMU-Based Coaching Assistance.

Authors:  Mahdi Hamidi Rad; Vincent Gremeaux; Fabien Massé; Farzin Dadashi; Kamiar Aminian
Journal:  Sensors (Basel)       Date:  2022-04-27       Impact factor: 3.847

2.  Monitoring weekly progress of front crawl swimmers using IMU-based performance evaluation goal metrics.

Authors:  Mahdi Hamidi Rad; Vincent Gremeaux; Fabien Massé; Farzin Dadashi; Kamiar Aminian
Journal:  Front Bioeng Biotechnol       Date:  2022-08-08

3.  Automatic Swimming Activity Recognition and Lap Time Assessment Based on a Single IMU: A Deep Learning Approach.

Authors:  Erwan Delhaye; Antoine Bouvet; Guillaume Nicolas; João Paulo Vilas-Boas; Benoît Bideau; Nicolas Bideau
Journal:  Sensors (Basel)       Date:  2022-08-03       Impact factor: 3.847

Review 4.  A Focused Review on the Flexible Wearable Sensors for Sports: From Kinematics to Physiologies.

Authors:  Lei Liu; Xuefeng Zhang
Journal:  Micromachines (Basel)       Date:  2022-08-20       Impact factor: 3.523

5.  Swimming Phase-Based Performance Evaluation Using a Single IMU in Main Swimming Techniques.

Authors:  Mahdi Hamidi Rad; Kamiar Aminian; Vincent Gremeaux; Fabien Massé; Farzin Dadashi
Journal:  Front Bioeng Biotechnol       Date:  2021-12-07
  5 in total

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