Description
Sports Biomechanics: Theories, Examples, and Data Analysis provides mechanical theories, data-based examples, and step-by-step analyses in MATLAB, giving a comprehensive understanding of the process of performing biomechanical analysis in sports. The book connects theories with principles of data collection and offers specific data analysis techniques. It addresses gaps among theories, raw data from various collection methods, different calculations to process raw data in MATLAB, and the extraction of variables of interest to quantify sports performance and injury risk. Sample raw data, videos, figures, and MATLAB scripts are provided, along with theories to calculate key parameters in different sporting events and movements.Readers are encouraged to replicate the data collection and data analyses listed in the book and translate the knowledge and skills to a different setting. While this book covers the data analyses in MATLAB, programming skills can be related to other software with similar language environments to help readers ask questions and understand different parameters when using software performing automatic data processing.- Offers sample raw data for a range of sports movements, addressing the challenges researchers and practitioners encounter when dealing with massive datasets and uncertain data processing techniques- Includes MATLAB scripts, bridging the gap between theoretical concepts and practical data processing- Emphasizes the importance of specific techniques and their relevance to real-world sports biomechanics problems
Table of Contents
1. Linear Algebra Review2. Introduction to MATLAB and Pyton3. Signal Processing and EMG Data Analyses4. 2D Kinematics Theories5. 2D Kinematics Example and Data Analyses6. 2D Kinetics Theories7. 2D Kinetics Example and Data Analysis8. 3D Kinematics Theories9. 3D Kinematics Example and Data Analysis10. 3D Kinetic Theories11. 3D Kinetics Example and Data Analysis12: Other Technologies and Applications
