Identifying highly talented athletes: Conception and design of an expert system

Inhaltsverzeichnis (Table of Contents)

• 1 Introduction
• 2 Track and Field Sprint
• 2.1 History, Overview and Classification
• 2.2 The Skill of Running
• 2.2.1 Stride Length and Stride Frequency
• 2.2.2 The Race Sections
• 2.2.3 The Start and Acceleration Phase
• 2.2.4 Running at Maximum Velocity
• 2.3 Performance Structure
• 2.3.1 Emotional and Mental Attributes
• 2.3.2 Physical Fitness
• 2.3.2.1 Strength
• 2.3.2.2 Endurance
• 2.3.2.3 Flexibility
• 2.3.2.4 Speed
• 2.3.3 Technique and Coordinative Abilities
• 2.3.4 Other Factors
• 2.3.4.1 Physique
• 2.3.4.2 Tactical Abilities
• 3 The Search for Talent
• 3.1 The Elements of Talent
• 3.1.1 Distinctive Performance
• 3.1.2 Rate of Progression
• 3.1.3 Utilization
• 3.1.4 Physical Tolerance
• 3.1.5 Conclusion and Consequences
• 3.2 Successful Talent Identification Schemes
• 3.3 Talent Search with the Help of an Expert System
• 3.3.1 Goal
• 3.3.2 Limitations
• 3.3.3 Testing Procedures
• 3.3.3.1 Vertical Jump
• 3.3.3.2 40m Sprint
• 3.3.3.3 50m Bounding
• 3.3.4 Evaluation and Selection
• 4 Introduction to Expert Systems
• 4.1 Artificial Intelligence and the Emergence of Expert Systems
• 4.2 What are Expert Systems?
• 4.3 How do Expert Systems Work?
• 4.4 Expert Systems in Sports
• 4.4.1 RunCoach
• 4.4.2 Expert System for Tactical Player Positioning in Soccer
• 4.4.3 TESSY
• 5 An Expert System for Talent Identification
• 5.1 Phase 1 – Requirements Analysis and Planning
• 5.1.1 Project Management
• 5.1.2 Requirements Definition
• 5.1.3 Requirements Specification
• 5.2 Phase 2 - System Components Definition
• 5.2.1 Knowledge Acquisition
• 5.2.2 Evaluation of the Vertical Jump
• 5.2.3 Evaluation of the 40m Sprint
• 5.2.4 Evaluation of the 50m Bounding
• 5.2.5 Diagnoses
• 5.3 Phase 3 – Design
• 5.3.1 Prototyping the Shell
• 5.3.2 Introduction to d3web
• 5.3.2.1 The Back-End
• 5.3.2.2 The Front-End
• 5.4 Phase 4-Implementation
• 5.4.1 Setting Up the Knowledge Base
• 5.4.1.1 Diagnoses Set
• 5.4.1.2 Question Hierarchy
• 5.4.2 The Knowledge Implementation
• 5.4.2.1 The Rule Editor
• 5.4.2.2 Heuristic Decision Table
• 5.4.3 The User Interface
• 5.5 Phase 5 – Deployment and Maintenance
• 6 Summary

Zielsetzung und Themenschwerpunkte (Objectives and Key Themes)

This thesis examines the potential of using an Expert System for identifying talented young athletes in track and field. The work aims to demonstrate the feasibility and limitations of this approach, drawing on existing research and case studies.

• Talent identification in track and field
• Expert systems in sports
• Development of an Expert System for talent identification
• Testing procedures for talent assessment
• Knowledge acquisition and representation

Zusammenfassung der Kapitel (Chapter Summaries)

• Chapter 1: Introduction This chapter introduces the topic of talent identification in track and field, highlighting the importance of identifying talented athletes at an early stage. It also provides a background on the history of track and field and the modern Olympic Games.
• Chapter 2: Track and Field Sprint This chapter focuses on the sprint events in track and field, providing an overview of the sport's history, classification, and key skills. It also discusses the physical, emotional, and mental attributes needed for success in sprinting.
• Chapter 3: The Search for Talent This chapter delves into the topic of talent identification, exploring different approaches and methods used to identify talented athletes. It also examines the elements of talent, including distinctive performance, rate of progression, and physical tolerance.
• Chapter 4: Introduction to Expert Systems This chapter introduces the concept of expert systems, outlining their history, development, and applications in various fields, particularly in sports.
• Chapter 5: An Expert System for Talent Identification This chapter details the process of designing and implementing an Expert System specifically for talent identification in track and field. It covers the different stages of the project, including requirements analysis, system components definition, design, implementation, and deployment.

Schlüsselwörter (Keywords)

This work focuses on the application of Expert Systems for talent identification in track and field, utilizing key concepts such as artificial intelligence, knowledge acquisition, testing procedures, and performance evaluation.