Next-Generation Performance Monitoring System for Pitchers

Publication ID: 24-11857841_0005_PTD
Published: October 28, 2025
Category:Future Evolutions & Paradigm Shifts

Legal Citation

pr1or.art Inc., “Next-Generation Performance Monitoring System for Pitchers,” Published Technical Disclosure No. 24-11857841_0005_PTD, Published October 28, 2025, available at https://archive.pr1or.art/24-11857841_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. 11,857,841.

Summary of the Inventive Concept

A cutting-edge performance monitoring system for pitchers, integrating AI-powered analytics, machine learning, and immersive virtual reality training to revolutionize pitching performance optimization.

Background and Problem Solved

The original patent's performance monitoring system, while innovative, has limitations in providing personalized coaching recommendations and real-time data analysis. The new inventive concept addresses these limitations by incorporating AI-powered analytics, machine learning algorithms, and wearable devices to provide a more comprehensive and data-driven approach to pitching performance optimization.

Detailed Description of the Inventive Concept

The next-generation performance monitoring system consists of a smart pitching mound with integrated sensors, AI-powered analytics, and machine learning algorithms. The system generates real-time data on the pitcher's performance and provides personalized coaching recommendations. Additionally, a wearable device with integrated sensors and haptic feedback tracks the pitcher's biomechanics and provides real-time adjustments to the pitcher's throwing form. A virtual reality training system simulates game-like scenarios, providing immersive, data-driven training exercises. The system is connected to a cloud-based platform, enabling real-time data sharing and collaboration between coaches, trainers, and pitchers.

Novelty and Inventive Step

The new claims introduce novel features such as AI-powered analytics, machine learning algorithms, and wearable devices, which provide a significant improvement over the original patent's limitations. The inventive step lies in the integration of these advanced technologies to create a comprehensive and data-driven approach to pitching performance optimization.

Alternative Embodiments and Variations

Alternative embodiments of the inventive concept could include the use of different types of sensors, such as optical or acoustic sensors, or the integration of additional wearable devices, such as smart gloves or smart shoes. Variations of the virtual reality training system could include different simulation scenarios or the use of augmented reality technology.

Potential Commercial Applications and Market

The next-generation performance monitoring system has significant commercial potential in the sports industry, particularly in professional baseball and softball leagues. The system could also be marketed to amateur pitchers, coaches, and trainers, providing a valuable tool for performance optimization and injury prevention.

CPC Classifications

SectionClassGroup
A A63 A63B24/0062
A A63 A63B69/0002
A A63 A63B71/0622
A A63 A63B2069/0006
A A63 A63B2071/0647
A A63 A63B2220/58
A A63 A63B2220/833

Field of Art

Sports performance technology, specifically baseball and softball performance monitoring systems, involving sensor integration, biomechanical analysis, and athletic performance tracking technologies

Person of Ordinary Skill (PHOSITA) Profile

An engineer with expertise in sports biomechanics, sensor technologies, data analytics, and machine learning, possessing knowledge of athletic performance monitoring systems and experience in developing wearable sensor technologies

Obviousness Rationale

A person having ordinary skill in the art would recognize that the source patent's foundational performance monitoring system using piezoelectric sensors naturally extends to more sophisticated data collection and analysis technologies. The PTD's AI-powered analytics, machine learning algorithms, and virtual reality training represent predictable technological progressions that build upon the core sensing methodology disclosed in the original patent. These variations represent incremental improvements using standard engineering techniques available to skilled practitioners in sports performance technology.

Obvious Combinations & Variations

Source Patent Element
Piezoelectric film generating electrical signals in response to pressure on pitching rubber
PTD Variation
Integrating AI-powered analytics to interpret sensor data and generate performance recommendations
Obviousness Reasoning
Transforming raw sensor data into actionable insights is a known technique in performance monitoring, representing a predictable application of machine learning to sensor-generated information
Source Patent Element
Performance monitoring system for tracking pitcher's actions
PTD Variation
Adding wearable device with biomechanical tracking and haptic feedback
Obviousness Reasoning
Extending sensor monitoring to wearable technologies is a standard design choice in performance tracking, with multiple known methods for capturing athletic movement data
Source Patent Element
Real-time performance evaluation system
PTD Variation
Virtual reality training system simulating game scenarios
Obviousness Reasoning
Immersive training technologies are a foreseeable evolution of performance monitoring systems, representing a logical combination of sensing technologies and simulation techniques
Source Patent Element
Pitching performance monitoring using physical sensors
PTD Variation
Cloud-based platform enabling data sharing and collaborative analysis
Obviousness Reasoning
Centralized data management and remote collaboration are standard technological progressions in sensor-based performance tracking systems
Source Patent Element
Sensor-based performance evaluation methodology
PTD Variation
Machine learning algorithms generating customized training programs
Obviousness Reasoning
Automated training program generation represents a predictable application of data analytics to performance monitoring technologies
35 U.S.C. § 103 Summary: Based on the teachings of US Patent 11857841 and the disclosed technological variations, a person having ordinary skill in the art would find the performance monitoring system innovations obvious and lacking inventive step. The incremental technological advancements represented in this publication would be considered routine engineering developments within the contemplation of an ordinary skilled practitioner in sports performance monitoring technologies.

Original Patent Information

Patent NumberUS 11,857,841
TitlePerformance monitoring system for a pitcher