Use of Inertial Measurement Units for Detection of the Support Phases in Discus Throwing

Photogrammetry applied to sports provides precise data on athlete positions and time instants, especially with digital motion capture systems. However, detecting and identifying specific events in athletic movements such as discus throwing can be challenging when using only images. For example, with high-speed video, it is difficult to pinpoint the exact frame when events like foot touchdown or takeoff occur, as contact between shoe and ground may span several frames. Inertial measurement units (IMUs) can detect maxima and minima in linear accelerations and angular velocities, helping to accurately determine these specific events in throwing movements. As a result, comparing photogrammetry data with IMU data becomes challenging because of the differences in the methods used to detect events. Even if comparisons can be made with IMU data from other sports researchers, variations in methodologies can invalidate the comparison. To address this, the paper proposes a simple methodology for detecting the five phases of a discus throw using three IMUs located on the thrower's wrist and on the instep or ankle of the feet. Experiments with three elite male discus throwers are conducted and the results are compared with existing data in the literature. The findings demonstrate that the proposed methodology is effective (100% of phases detected in the experiments without false positives) and reliable (results validated with professional coaches), offering a practical and time- and cost-effective solution for accurately detecting key moments in athletic movements.

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Publication Details

Journal
Sensors
Published
2025-10-03
DOI
https://doi.org/10.3390/s25196095
Primary Topic
Structural Health Monitoring Techniques
Type
article
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article

Use of Inertial Measurement Units for Detection of the Support Phases in Discus Throwing

J. Sánchez, David Moreno-Salinas, Juan Carlos Álvarez-Ortiz
Sensors
Structural Health Monitoring Techniques
article

Use of Inertial Measurement Units for Detection of the Support Phases in Discus Throwing

J. Sánchez, David Moreno-Salinas, Juan Carlos Álvarez-Ortiz
article en

Abstract

Photogrammetry applied to sports provides precise data on athlete positions and time instants, especially with digital motion capture systems. However, detecting and identifying specific events in athletic movements such as discus throwing can be challenging when using only images. For example, with high-speed video, it is difficult to pinpoint the exact frame when events like foot touchdown or takeoff occur, as contact between shoe and ground may span several frames. Inertial measurement units (IMUs) can detect maxima and minima in linear accelerations and angular velocities, helping to accurately determine these specific events in throwing movements. As a result, comparing photogrammetry data with IMU data becomes challenging because of the differences in the methods used to detect events. Even if comparisons can be made with IMU data from other sports researchers, variations in methodologies can invalidate the comparison. To address this, the paper proposes a simple methodology for detecting the five phases of a discus throw using three IMUs located on the thrower's wrist and on the instep or ankle of the feet. Experiments with three elite male discus throwers are conducted and the results are compared with existing data in the literature. The findings demonstrate that the proposed methodology is effective (100% of phases detected in the experiments without false positives) and reliable (results validated with professional coaches), offering a practical and time- and cost-effective solution for accurately detecting key moments in athletic movements.

SensorsVol. 25(19)
Universidad Nacional de Educación a Distancia (ES), Federación Española de Enfermedades Raras (ES)
Openalex Percentile: Top 71%
Structural Health Monitoring Techniques
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Use of Inertial Measurement Units for Detection of the Support Phases in Discus Throwing — J. Sánchez, David Moreno-Salinas, et al. · Sensors (2025) | TGRS Research Map | TGRS