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ORIGINAL RESEARCH article

Front. Sports Act. Living

Sec. Sports Science, Technology and Engineering

This article is part of the Research TopicNext-generation Computing in Sports: Redefining Performance Monitoring and OptimizationView all articles

An investigation of the reliability, validity, and impact of operator expertise on assessing vertical jump height in collegiate badminton athletes with My Jump Lab

Provisionally accepted
Yupeng  YangYupeng YangZiyang  YangZiyang YangLili  LuoLili LuoXiaoshan  DaiXiaoshan DaiMengqi  LIUMengqi LIULisha  TianLisha TianQinghe  LiuQinghe LiuYing  QinYing QinYing  LiYing Li*Mi  ZhengMi Zheng*
  • Harbin Sport University, Harbin, China

The final, formatted version of the article will be published soon.

Purpose: This study aimed to evaluate the influence of operator experience on vertical jump height measurements in university badminton athletes using My Jump Lab, while concurrently assessing the tool’s reliability and validity against the gold-standard OptoJump system. Methods: Seventy-six university badminton athletes (32 females, 44 males) participated. Three vertical jump modalities—countermovement jump (CMJ), countermovement jump with arm swing (CMJAM), and squat jump (SJ)—were measured simultaneously using My Jump Lab and OptoJump. My Jump Lab data were processed by two operators with substantially different experience levels. A mixed-design repeated-measures ANOVA was used to examine the effect of operator experience. Bland-Altman analysis with linear regression of differences versus means was employed to assess agreement and detect proportional bias. Results: Intraclass correlation coefficients (ICC₁,₁) for both operators were ≥ 0.92, with coefficients of variation (CV) < 5%, indicating excellent intra-operator reliability. Inter-operator reliability was exceptionally high (ICC₂,₁ ≥ 0.983, CV < 5%). Repeated-measures ANOVA showed no significant main effect of operator experience or interaction effects with jump type/number. Validity analysis demonstrated excellent agreement between systems: ICC₂,₁ ≥ 0.990, mean differences < 1 cm, and high linear fit (R² > 0.98). My Jump Lab showed a slight systematic overestimation. Proportional bias was non-significant for CMJ and SJ, but significant for CMJAM, with differences increasing proportionally with jump height. Conclusion: Operator experience has minimal practical impact on My Jump Lab measurements. The tool demonstrates robust reliability and validity, making it suitable for routine training monitoring by operators of varying experience. While significant proportional bias was found for CMJAM, this does not compromise its utility for relative performance monitoring. Strict standardization of movement protocols and post-test video review remain essential for SJ testing.

Keywords: artificial intelligence, AppsMy Jump Lab, Physical training monitoring, CMJ, CMJAM, SJ

Received: 06 Oct 2025; Accepted: 08 Dec 2025.

Copyright: © 2025 Yang, Yang, Luo, Dai, LIU, Tian, Liu, Qin, Li and Zheng. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

* Correspondence:
Ying Li
Mi Zheng

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