運動感測器在網球訓練之應用：系統性文獻回顧

隨著科技的進步，感測元件越做越小，生產成本大幅降低，感測科技被廣泛地應用於運動產業。運動感測器能夠收集選手的各項生理數據和監測運動狀態，提供完整的資訊讓教練根據選手的狀況來擬定及修正訓練計畫。近年來，網球訓練也透過運動感測器來分析和監測選手的訓練狀況。本研究的目的為探討運動感測器在網球訓練的研究概況，提供教練與研究者在做訓練規劃或實驗設計之參考。藉由Web of Science、PubMed、Scopus及ScienceDirect等電子資料庫搜尋2021年12月以前相關文獻，經過篩選最後納入18篇文章進行系統性文獻回顧，結果發現運動感測器主要應用於動作分析與訓練量的監測。動作分析的應用包含：判斷擊球類型（5篇）、擊球時機（1篇）、各項擊球數據（5篇），例如：甜蜜點位置、球速、轉速和揮拍速度。訓練量的監測則分為手部的擊球負荷（3篇）和身體的訓練負荷（4篇）。建議未來研究可以進行感測器整合（sensor fusion），同時比對內外在負荷及心理等因素，更準確地呈現網球選手的運動表現或訓練狀態。

關鍵字

感測科技；動作分析；訓練量監測；擊球類型；訓練負荷

並列摘要

With the advancement of science and technology, sensing components are getting smaller and smaller, production costs are greatly reduced, and sensing technology is widely used in the sports industry. Sports sensors can collect various physiological data of athletes and monitor motion status, providing complete information for coaches to formulate and revise training plans according to the athletes' conditions. In recent years, tennis training has also used sports sensors to analyze and monitor the training status of players. Therefore, the purpose of this study is to explore the research overview of sports sensors in tennis training and to provide coaches and researchers with references in training planning or experimental design. In this study, we searched for relevant literature before December 2021 through electronic databases such as Web of Science, PubMed, Scopus and ScienceDirect, and 18 articles were included in the systematic literature review. It was found that the sports sensor was mainly used for motion analysis and measurement of training load. The application of motion analysis includes: determining the type of shot, the timing of the shot, the fluency, and the various batting data (sweet spot position, ball speed, spin rate, and swing speed). The monitoring of training load is divided into hitting load and physical training load. It is suggested that future research can carry out sensor fusion, while comparing internal and external loads and psychological factors, so that the athletic performance or training status of tennis players can be more accurately represented.

並列關鍵字

sensing technology ； motion analysis ； monitoring of training ； shot type ； training load

參考文獻

Ahmadi, A., Rowlands, D., & James, D. A. (2009). Towards a wearable device for skill assessment and skill acquisition of a tennis player during the first serve. Sports Technology, 2(3-4), 129-136.https://doi.org/10.1080/19346182.2009.9648510

Baiget, E., Iglesias, X., Fuentes, J. P., & Rodríguez, F. A. (2019). New approaches for on-court endurance testing and conditioning in competitive tennis players. Strength and Conditioning Journal, 41(5), 9-16.https://doi.org/10.1519/SSC.0000000000000470

Benages Pardo, L., Buldain Perez, D., & Orrite Uruñuela, C. (2019). Detection of Tennis Activities with Wearable Sensors. Sensors,19(22), 5004.https://doi.org/10.3390/s19225004

Boyd, L. J., Ball, K., & Aughey, R. J. (2013).Quantifying external load in Australian football matches and training using accelerometers. International Journal of Sports Physiology and Performance, 8(1), 44-51. https://doi.org/10.1123/ijspp.8.1.44

Brewer, C., Dawson, B., Heasman, J., Stewart, G., & Cormack, S. (2010). Movement pattern comparisons in elite (AFL) and sub-elite (WAFL) Australian football games using GPS. Journal of Science and Medicine in Sport,13(6), 618-623. https://doi.org/10.1016/j.jsams.2010.01.005

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