ORIGINAL RESEARCH article
Front. Sports Act. Living
Sec. Sports Science, Technology and Engineering
Volume 7 - 2025 | doi: 10.3389/fspor.2025.1591520
This article is part of the Research TopicEmerging technologies in sports performance: data acquisition and analysisView all articles
Impacts of Dry Swing Intervention on Bat Speed and Attack Angle: an Analysis of Core Intervention Factors
Provisionally accepted- 1School of Physical education, Nanjing Tech University, Nanjing, China
- 2Beijing Sport University, Beijing, Beijing Municipality, China
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This study investigated the effects of dry swing intervention using differently weighted baseball bats on bat speed and attack angles during actual swing, simulating warm-up routines. Additionally, it explored core kinematic factors impacting subsequent bat speed and attack angles. Sixty-nine baseball players were allocated by stratified randomization into three groups—normal-weight, weight, and reduced-weight—within their respective age categories .Bat swing kinematics were collected using BLAST, while bodily kinematics were captured with Rebocap sensors. Differences between pre- and post-tests were analyzed, and core intervention factors were identified with an XGBoost model and SHAP-based additive explanations. No significant bat speed differences were found , but attack angles varied significantly in the normal-weight bat group for 12–14 year-olds (p = 0.027, ES = -0.315) and university players (p = 0.018, ES = 0.456). Core kinematic indicators included hip internal rotation (p = 0.007, ES = 0.990) and inclination angle (p = 0.023, ES = 0.184) showed significant differences, including and for the 12–14 age group using normal-weight bats, and hip external rotation (p = 0.045, ES = 1.619) for the 14–16 age group using weighted bats. Post-test attack angles were impacted by intervention elevation and inclination angles, particularly for non-long-term bats. Adolescent athletes with shorter training term should avoid weight or reduced-weight bats for warm-up swings.
Keywords: Dry swing intervention, Bat speed, Attack angle, Intervention factor, machine learning
Received: 11 Mar 2025; Accepted: 30 May 2025.
Copyright: © 2025 Li, Cheng and Zhang. 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: Tianfeng Zhang, School of Physical education, Nanjing Tech University, Nanjing, China
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