以開放式動力鏈分析並輔助羽球發球動作訓練

Abstract

我們提出一套羽毛球反手發短球的訓練系統。與之前專注於使用者姿勢的運動技能訓練系統不同，本系統透過開放式動力鏈，分析動作中關節的變化情形，這有助於使用者調整動作，並最大限度地減少肌肉使用，同時更好地控制關節。從分析 6 位選手發球動作的形成性研究中，我們得到一個理想的發球動作模型，對應至 4 個與動作過程相關的開放式動力鏈特性，並以視覺呈現系統使用者的發球動作與理想動作之間的差異。為了驗證本系統，我們進行針對 12 位不同程度受試者的研究，研究中衡量了發球準確性及動作的變化，並收集受試者對於系統可用性及視覺設計的質性回饋。此外，我們也開源骨架分析模型以供將來使用。雖然受試者整體的發球準確性未有顯著的提升，但研究結果顯示，本系統可在短期內幫助受試者微調發球動作，使其更接近我們理想的 4 種開放式動力鏈特性。

We present a badminton training system that focuses on the backhand short service. Unlike the prior motor skill training systems which focus on trainee's posture, our system analyzes the process of moving joints with open kinetic chain (OKC), that help align movement and minimize muscle use for better joint control. We process the users’ motion capture data to visually show their last service process comparing to 4 ideal OKC characteristics that we collected from a 6-experts formative study as well as recommended contact posture. We validate our system through a 12-user study that measures serving accuracy, qualitative feedback, and skeletal data with users at various skill levels and open source our skeletal analysis model for future use. While the participants' overall service accuracy was not significantly improved, our results show that our system helps participants in short term to fine tune their service motion that closer to our ideal 4 OKC characteristics.