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Two years ago, we embarked on a groundbreaking journey to revolutionize the way golfers understand and improve their swings. Through extensive research, collaboration with golf professionals, and the application of cutting-edge technology, we have successfully developed the Golf Genome, a comprehensive framework that deconstructs the golf swing into its fundamental components. Our innovative system, built upon advanced motion capture technology [2] and extending pose estimation algorithms [6], has enabled us to break down the swing into its essential building blocks, providing golfers and coaches with unparalleled insights for targeted improvements and personalized coaching.

Over the past 24 months, our company has successfully developed and implemented the Golf Genome, a revolutionary framework that has transformed the way golfers understand and optimize their swings. By deconstructing the golf swing into its fundamental building blocks, we have unlocked the secrets to consistent, high-performance golf.

Central to the Golf Genome is our proprietary methodology for analyzing swing mechanics. We define a "Deficiency" or "Fault" as a deviation from best practice that has a direct, simple corrective measure. A "Root Deficiency" or "Fault" is a deficiency without an underlying cause. In contrast, a "Symptom" or "Result" is a signal of one or more deficiencies but does not have a direct, simple corrective measure. We further categorize these into "Swing Results," such as an over-the-top motion or overly active upper body, and "Impact Results," which include slices, hooks, and clubface orientation issues.

The Golf Genome also emphasizes the importance of understanding the relationships between different aspects of the swing. We define a "Cause-Effect Relationship" as a situation where a deficiency causes one or more deficiencies or results, or when a result causes one or more deficiencies. Identifying these relationships requires a high level of confidence in the presence of causation.

By combining all the deficiencies, results, and cause-effect relationships of a single swing, we create a comprehensive "Swing Map." This detailed representation allows golfers and coaches to visualize the intricate interactions within the swing and prioritize areas for improvement.

To quantify the severity of a deficiency, we introduce the concept of "Magnitude," which measures the amount of deviation from best practice. Additionally, we assign a "Priority" to each deficiency, indicating its relative importance in the overall swing. By multiplying Magnitude and Priority, we calculate an "Ailment Level," a metric that helps golfers and coaches focus their efforts on the most critical aspects of the swing.

The Golf Genome also acknowledges the temporal nature of the swing by defining distinct "Swing Stages." By breaking down the swing into specific phases, we can provide targeted feedback and guidance for each stage of the motion.

To ensure the accuracy and reliability of our analysis, we have developed advanced computer vision algorithms that assign a "Computer Vision Score" to each deficiency. This score indicates the likelihood of correctly measuring and identifying a specific deficiency using our cutting-edge technology.

Finally, we introduce the concept of "Sequence," which refers to connected faults with cause-effect relationships. By performing detailed swing "Tear-downs," we create a complete Swing Map for a single swing, enabling golfers and coaches to understand the interdependencies and progression of deficiencies throughout the motion.

The Golf Genome has proven to be a game-changer for golfers of all skill levels. By providing a comprehensive understanding of each component's role in the overall swing, players can now make informed adjustments and experience rapid improvements in their performance.

Looking ahead, the impact of the Golf Genome extends far beyond the realm of golf instruction as we move into a broader set of sports, this framework allows us to deconstruct human motion across many activities and provide proper instruction and coaching as a result. Our team remains dedicated to pushing the boundaries of performance analysis, ensuring that athletes worldwide have access to the most advanced and effective tools for improvement optimization.

At our company, we believe that the future of human motion prediction lies in harnessing the power of model orchestration on edge devices. By seamlessly integrating perception models and generative AI, we can unlock unprecedented capabilities in predicting and synthesizing human motion, opening up a world of possibilities across industries. This is why we're embarking on a groundbreaking research effort focused on Motion Prediction on the Edge (MPE).

Introducing Motion Prediction on the Edge (MPE)
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