Abstract:The primary goals of sports biomechanics are improving sports performance and reducing injury risk (Bartlett & Bussey, 2011). Often working in cooperation with coaches, sports biomechanists use qualitative and quantitative analysis methods to detect and rectify deficiencies in athletes' technique or skill that may inhibit performance or potentially cause injury (Lees, 2002). A number of recent technological developments have advanced the spread of wearable sensors that provide detailed kinematic, kinetic, and electromyographic data. Assessment of these key performance outcomes facilitates coaching and injury prevention (Taborri et al., 2020). However, Glazier and Mehdizadeh (2019) demonstrated that variability between athletes' unique movements, even at the highest level of performance, can complicate the task of distinguishing technical deficiencies from functional adaptations or stylistic features. Furthermore, group-based analyses often conceal variability between athletes, providing only probabilistic "in general" or "on average" data that may not be valid for specific or elite athletes. Computer simulation modelling can identify specific optimum techniques to fit each athlete's unique dynamics, but application of these still risks failure due to the intense psychological pressures of competition and the volume of practice required to alter movement technique. For young potential players, more and more countries or organizations use the talent identification and development (TID) system to identify potential athletes and predict their future performance, especially through sport-specific technical skills assessment. For example, Koopmann, Faber, Baker, and Schorer (2020) demonstrated the efficacy of such tests in distinguishing between different performance levels and predicting future performance. In addition, the focus on "outcome-related" and "experimental" methods in specific populations has created opportunities for new research regarding "technique-related" and "competition" methods. Athletes, coaches and applied biomechanics scholars all benefit when the latter two interact in a daily high-performance training environment. However, as Waters, Phillips, Panchuk, and Dawson (2019) indicated, these relationships are not functioning as well as they could. Difficulties in transferring new research into coaching practice arise in part because coaches' understanding of biomechanics theory and the support that biomechanists can provide in the training environment is inconsistent. On the other hand, biomechanists could also benefit from enhancing their communication skills. Some Q1 sports science journals require a "practical application" section designed specifically to educate coaches and field practitioners regarding ways to address the gap between new research and existing practice. Therefore, sport biomechanists should not only advance relevant theory; they should also contribute to establishing optimal practice in a high-performance environment and enhancing the transfer of knowledge from scientist to coach.
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