Intelligent Racket Customization System

Publication ID: 24-11857855_0005_PTD
Published: October 28, 2025
Category:Future Evolutions & Paradigm Shifts

Legal Citation

pr1or.art Inc., “Intelligent Racket Customization System,” Published Technical Disclosure No. 24-11857855_0005_PTD, Published October 28, 2025, available at https://archive.pr1or.art/24-11857855_0005_PTD
This technical disclosure describes improvements that would be readily apparent to a Person Having Ordinary Skill In The Art (PHOSITA) when considered in combination with the foundational architecture disclosed in U.S. Patent No. 11,857,855.

Summary of the Inventive Concept

A next-generation racket customization system that leverages advanced analytics, machine learning, and real-time sensor data to optimize racket head shapes for individual users, revolutionizing the sport of ball games.

Background and Problem Solved

The original patent application for characterizing a ball game racket frame provided a method for determining racket head shape parameters. However, it had limitations in terms of adaptability and personalization. The new inventive concept addresses these limitations by introducing a system that can dynamically adjust racket head shapes based on user preferences and playing styles.

Detailed Description of the Inventive Concept

The Intelligent Racket Customization System consists of a racket frame sensor, a racket head contour analyzer, and a racket customization module. The sensor collects real-time data on the racket frame, which is then analyzed by the contour analyzer to determine the racket head shape. The customization module uses this information to adjust the racket head shape in real-time, ensuring optimal performance for the user. Additionally, the system can generate personalized racket head shape recommendations based on user data and preferences, and even optimize racket head shapes through machine learning-based analysis of a database of racket head shapes.

Novelty and Inventive Step

The new inventive concept introduces the concept of adaptive racket customization, which is a significant departure from the original patent's focus on static racket head shape characterization. The use of real-time sensor data, machine learning, and advanced analytics to optimize racket head shapes is a novel and non-obvious innovation that solves the problem of limited adaptability in the original patent.

Alternative Embodiments and Variations

Alternative embodiments of the Intelligent Racket Customization System could include the use of different types of sensors, such as cameras or accelerometers, to collect racket frame data. The system could also be integrated with other sports equipment, such as tennis rackets or golf clubs, to provide a broader range of customization options. Additionally, the system could be adapted for use in other industries, such as healthcare or manufacturing, where customized tool shapes are critical.

Potential Commercial Applications and Market

The Intelligent Racket Customization System has significant commercial potential in the sports equipment industry, particularly in the markets for tennis, squash, and other racquet sports. The system could also be marketed to professional athletes and coaches, as well as to recreational players seeking to improve their game. Furthermore, the system's advanced analytics and machine learning capabilities could be applied to other industries, such as healthcare and manufacturing, to provide customized solutions for a wide range of applications.

CPC Classifications

SectionClassGroup
A A63 A63B60/42
G G06 G06F30/10

Field of Art

Sports equipment design and performance optimization, specifically racket frame and head engineering, with expertise in computational analysis, sensor integration, and machine learning-assisted design

Person of Ordinary Skill (PHOSITA) Profile

A professional with advanced engineering or sports science background, proficient in computational modeling, sensor technologies, and data-driven design optimization techniques, familiar with sports equipment performance characterization

Obviousness Rationale

A PHOSITA would recognize that the source patent's racket head characterization methodology naturally extends to adaptive customization by integrating real-time sensor data and machine learning techniques. The fundamental principles of racket head shape analysis are directly transferable to dynamic optimization approaches. The technical progression from static shape analysis to adaptive customization represents a predictable evolutionary step in sports equipment design.

Obvious Combinations & Variations

Source Patent Element
Racket head contour data collection and parametric analysis method
PTD Variation
Real-time sensor-based racket head shape monitoring and dynamic adjustment
Obviousness Reasoning
Extending static shape analysis to dynamic measurement represents a known technique in sensor-integrated design, with predictable performance enhancement outcomes
Source Patent Element
Geometric characterization of racket head shape
PTD Variation
Machine learning-driven racket head shape optimization platform
Obviousness Reasoning
Applying computational learning techniques to geometric design parameters is a standard approach in engineering design, representing an obvious combination of known methodological approaches
Source Patent Element
Contour segmentation and mathematical representation techniques
PTD Variation
Personalized racket head shape recommendation system based on user data
Obviousness Reasoning
Transforming geometric analysis into user-specific design recommendations is a predictable application of data-driven design methodologies
Source Patent Element
Racket frame geometric characterization methods
PTD Variation
Adaptive racket customization system with real-time shape modification capabilities
Obviousness Reasoning
Integrating computational analysis with adaptive manufacturing techniques represents a standard evolutionary approach in precision engineering design
Source Patent Element
Parametric racket head shape description
PTD Variation
Machine learning-based racket head shape evolution system
Obviousness Reasoning
Applying computational learning to geometric design optimization is a well-established technique in engineering design with predictable innovative potential
35 U.S.C. § 103 Summary: Based on the teachings of US Patent 11857855 and the disclosed technical variations, a person of ordinary skill in the art would find the claimed adaptive racket customization techniques obvious and non-patentable, as the proposed innovations represent predictable extensions of existing racket head characterization methodologies through standard engineering design practices and computational integration techniques.

Original Patent Information

Patent NumberUS 11,857,855
TitleCharacterization of a ball game racket frame
Assignee(s)Head Technology GmbH