This paper introduces a novel approach for leveraging inertial data to discern expertise levels in motor skill execution, specifically distinguishing between experts and beginners. By implementing inertial data transformation and fusion techniques, we conduct a comprehensive analysis of motor behaviour. Our approach goes beyond conventional assessments, providing nuanced insights into the underlying patterns of movement. Additionally, we explore the potential for utilising this data-driven methodology to aid novice practitioners in enhancing their performance. The findings showcase the efficacy of this approach in accurately identifying proficiency levels and lay the groundwork for personalised interventions to support skill refinement and mastery. This research contributes to the field of motor skill assessment and intervention strategies, with broad implications for sports training, physical rehabilitation, and performance optimisation across various domains.

本文介绍了一种利用惯性数据来辨别运动技能执行的专业水平的新方法，特别是区分专家和初学者。通过实施惯性数据转换和融合技术，我们对运动行为进行全面分析。我们的方法超越了传统的评估，提供了对潜在运动模式的细致入微的见解。此外，我们还探索利用这种数据驱动方法来帮助新手从业者提高绩效的潜力。研究结果展示了这种方法在准确确定熟练程度方面的功效，并为支持技能精炼和掌握的个性化干预措施奠定了基础。这项研究为运动技能评估和干预策略领域做出了贡献，对运动训练、身体康复和各个领域的表现优化具有广泛的影响。