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Audio-Based System for Automatic Measurement of Jump Height in Sports Science

机译：基于音频的体育科学跳跃高度自动测量系统

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摘要

Jump height tests are employed to measure the lower-limb muscle power of athletic and non-athletic populations. The most popular instruments for this purpose are jump mats and, more recently, smartphone apps, which compute jump height through manual annotation of video recordings to extract flight time. This study developed a non-invasive instrument that automatically extracts take-off and landing events from audio recordings of jump executions. An audio signal processing algorithm, specifically developed for this purpose, accurately detects and discriminates the landing and take-off events in real time and computes jump height accordingly. Its temporal resolution theoretically outperforms that of flight-time-based mats (typically 1000 Hz) and high-speed video rates from smartphones (typically 240 fps). A validation study was carried out by comparing 215 jump heights from 43 active athletes, measured simultaneously with the audio-based system and with of a validated, commercial jump mat. The audio-based system produced nearly identical jump heights than the criterion with low and proportional systematic bias and random errors. The developed audio-based system is a trustworthy instrument for accurately measuring jump height that can be readily automated as an app to facilitate its use both in laboratories and in the field.
机译：跳高测试用于测量运动和非运动人群的下肢肌肉力量。用于此目的的最受欢迎的工具是跳垫，最近还有智能手机应用程序，它们通过手动注释视频记录来计算飞行高度，以提取飞行时间。这项研究开发了一种非侵入性仪器，可以从跳跃执行的音频记录中自动提取起飞和降落事件。专门为此目的开发的音频信号处理算法可以实时准确地检测和识别着陆和起飞事件，并据此计算跳跃高度。从理论上讲，其时间分辨率优于基于飞行时间的垫子（通常为1000 Hz）和智能手机的高速视频速率（通常为240 fps）。通过比较来自43名活跃运动员的215个跳高进行了验证研究，该高度与基于音频的系统和经过验证的商用跳垫同时进行测量。基于音频的系统产生的跳变高度与标准相比几乎没有变化，具有较低且成比例的系统偏差和随机误差。开发的基于音频的系统是准确测量跳跃高度的可靠工具，可以很容易地作为应用程序自动化，以方便在实验室和现场使​​用。

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