Validation of the WIMU PRO<sup>TM</sup> Device for Jump Detection in Beach Volleyball: A Gender-Based Analysis during Official Competitions

Jump monitoring has become an essential procedure for training load management and injury prevention in many sports, such as beach volleyball. This study aimed to assess the validity of WIMU PRO<sup>TM</sup> devices for jump detection in beach volleyball and to determine, in a preliminary way, whether gender, the player's individuality or the technical action associated with the jump could influence data accuracy. Eleven beach volleyball players (6 female and 5 male) were recorded with high-definition cameras and the WIMU PRO<sup>TM</sup> device during 42 one-set official matches. The number of jumps recorded by the device was compared with the observational analysis. The instrument's sensitivity was calculated based on true positives and false positives/negatives in terms of gender, player individuality, and the type of the jump. The WIMU PRO<sup>TM</sup> device presented great sensitivity (96.29%), with a lower gender difference (male = 97.20%, female = 94.56%) and higher inter-player variability in females (91.06%-98.08%) than males (95.02%-98.40%). Regarding the type of the jump, actions classified as "Others" (99.10 %) obtained the greatest sensitivity, followed by "Block" (97.25 %), "Spike" (95.75 %) and "Serve" (94.69 %). The WIMU PRO<sup>TM</sup> is a valid device for automatic jump detection in beach volleyball. The variations observed in terms of gender, players' individuality, and the type of the jump highlight the importance of a context-specific individualized algorithm adjustment.

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Journal
Journal of Human Kinetics
Published
2025-05-29
DOI
https://doi.org/10.5114/jhk/196549
Primary Topic
Sports Performance and Training
Type
article
Field-Weighted Citation Impact
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article

Validation of the WIMU PROTM Device for Jump Detection in Beach Volleyball: A Gender-Based Analysis during Official Competitions

Jose Ignacio Priego‐Quesada, José Francisco Guzmán Luján, Antonio García-de-Alcaráz, Javier Portillo et al.
Journal of Human Kinetics
Sports Performance and Training
article

Validation of the WIMU PROTM Device for Jump Detection in Beach Volleyball: A Gender-Based Analysis during Official Competitions

Jose Ignacio Priego‐Quesada, José Francisco Guzmán Luján, Antonio García-de-Alcaráz, Javier Portillo, Joaquín Martín Marzano‐Felisatti, José Pino‐Ortega
article en

Abstract

Jump monitoring has become an essential procedure for training load management and injury prevention in many sports, such as beach volleyball. This study aimed to assess the validity of WIMU PRO<sup>TM</sup> devices for jump detection in beach volleyball and to determine, in a preliminary way, whether gender, the player's individuality or the technical action associated with the jump could influence data accuracy. Eleven beach volleyball players (6 female and 5 male) were recorded with high-definition cameras and the WIMU PRO<sup>TM</sup> device during 42 one-set official matches. The number of jumps recorded by the device was compared with the observational analysis. The instrument's sensitivity was calculated based on true positives and false positives/negatives in terms of gender, player individuality, and the type of the jump. The WIMU PRO<sup>TM</sup> device presented great sensitivity (96.29%), with a lower gender difference (male = 97.20%, female = 94.56%) and higher inter-player variability in females (91.06%-98.08%) than males (95.02%-98.40%). Regarding the type of the jump, actions classified as "Others" (99.10 %) obtained the greatest sensitivity, followed by "Block" (97.25 %), "Spike" (95.75 %) and "Serve" (94.69 %). The WIMU PRO<sup>TM</sup> is a valid device for automatic jump detection in beach volleyball. The variations observed in terms of gender, players' individuality, and the type of the jump highlight the importance of a context-specific individualized algorithm adjustment.

Journal of Human KineticsVol. 98
Universitat de València (ES), Biomechanics Institute of Valencia (ES), University of Almería (ES), University of Castilla-La Mancha (ES), Universidad de Murcia (ES)
Universitat de València
Openalex Percentile: Top 85%
Sports Performance and Training
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