Lapham A C, Bartlett R M
Centre for Information Management, Thames Valley University, Ealing, London.
J Sports Sci. 1995 Jun;13(3):229-37. doi: 10.1080/02640419508732232.
Computers have played an important supporting role in the development of experimental and theoretical sports biomechanics. The role of the computer now extends from data capture and data processing through to mathematical and statistical modelling and simulation and optimization. This paper seeks to demonstrate that elevation of the role of the computer to involvement in the decision-making process, through the use of artificial intelligence techniques, would be a potentially rewarding future direction for the discipline. In the absence of significant previous work in this area, this paper reviews experiences in a parallel field of medical informatics, namely gait analysis. Research into the application of expert systems and neural networks to gait analysis is reviewed, observations made and comparisons drawn with the biomechanical analysis of sports performance. Brief explanations of the artificial intelligence techniques discussed in the paper are provided. The paper concludes that the creation of an expert system for a specific well-defined sports technique would represent a significant advance in the development of sports biomechanics.
计算机在实验和理论体育生物力学的发展中发挥了重要的支持作用。计算机的作用现在已从数据采集和数据处理扩展到数学和统计建模、模拟及优化。本文旨在证明，通过使用人工智能技术，将计算机的作用提升到参与决策过程，对该学科而言将是一个潜在的、有价值的未来发展方向。鉴于此前该领域缺乏大量相关工作，本文回顾了医学信息学的一个平行领域，即步态分析的经验。对专家系统和神经网络在步态分析中的应用研究进行了综述，进行了观察，并与运动表现的生物力学分析进行了比较。文中还对所讨论的人工智能技术进行了简要解释。本文得出结论，为特定的、定义明确的运动技术创建专家系统将代表体育生物力学发展的重大进步。
