Next-Generation Wearable Momentum Measurement Systems

Publication ID: 24-11857840_0010_PTD
Published: October 28, 2025
Category:Future Evolutions & Paradigm Shifts

Legal Citation

pr1or.art Inc., “Next-Generation Wearable Momentum Measurement Systems,” Published Technical Disclosure No. 24-11857840_0010_PTD, Published October 28, 2025, available at https://archive.pr1or.art/24-11857840_0010_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. 11,857,840.

Summary of the Inventive Concept

This inventive concept discloses a family of next-generation wearable momentum measurement systems that integrate advanced sensors, machine learning, and augmented reality to provide real-time feedback on optimal exercise form and momentum generation.

Background and Problem Solved

The original patent disclosed a momentum measurement device fixed to a kettlebell to measure momentum of a user. However, this approach has limitations, such as requiring a specific device and not providing real-time feedback. The new inventive concept addresses these limitations by proposing wearable and augmented reality-based solutions that provide more accurate and personalized feedback.

Detailed Description of the Inventive Concept

The new inventive concept includes wearable momentum measurement systems with micro-sensors embedded in flexible substrates, machine learning modules that analyze sensor data to predict optimal exercise form, and augmented reality glasses that provide real-time, three-dimensional visual feedback. Additionally, the concept encompasses methods for personalized momentum training, team sports analytics, and neural interface momentum measurement systems.

Novelty and Inventive Step

The new claims introduce novel and non-obvious features, such as wearable micro-sensors, machine learning-based prediction, and augmented reality integration, which differentiate the inventive concept from the original patent. The integration of these features enables real-time feedback, personalized training, and more accurate momentum measurement.

Alternative Embodiments and Variations

Alternative embodiments of the inventive concept could include variations in sensor types, wearable form factors, and analytics platforms. For example, the wearable substrate could be replaced with a smart textile or a stretchable material, or the machine learning module could be adapted for specific sports or exercise routines.

Potential Commercial Applications and Market

The next-generation wearable momentum measurement systems have significant commercial potential in the fitness, sports, and healthcare industries. The systems could be marketed as premium products for professional athletes, fitness enthusiasts, and individuals seeking personalized training and injury prevention.

CPC Classifications

SectionClassGroup
A A63 A63B24/0062
A A63 A63B21/072
A A63 A63B71/0622
G G01 G01L5/16
A A63 A63B2071/0625
A A63 A63B2220/44
A A63 A63B2225/50

Field of Art

Sports technology and biomechanical measurement systems, focusing on wearable sensors for motion and momentum tracking, with expertise in sensor integration, data processing, and exercise performance analysis

Person of Ordinary Skill (PHOSITA) Profile

A skilled engineer with advanced degrees in electrical engineering, computer science, or biomechanics, experienced in sensor design, machine learning, and sports performance technologies, familiar with miniaturization techniques and data analytics platforms

Obviousness Rationale

A person of ordinary skill would recognize that the source patent's momentum measurement device provides a foundational framework for sensor-based motion tracking, which naturally extends to more advanced wearable and intelligent systems. The PTD's variations represent predictable technological progressions using known techniques of sensor miniaturization, machine learning integration, and augmented visualization. These extensions would be considered straightforward improvements by a skilled practitioner seeking to enhance momentum measurement technologies.

Obvious Combinations & Variations

Source Patent Element
Measurement sensor with printed circuit board, acceleration sensor, gyroscope sensor, communication element, and processor
PTD Variation
Micro-sensors embedded in flexible wearable substrates with integrated machine learning modules
Obviousness Reasoning
Miniaturization and sensor integration are predictable design choices for a PHOSITA seeking more advanced wearable technologies, representing a natural evolution of existing sensor measurement principles
Source Patent Element
Device for measuring momentum using sensor arrays
PTD Variation
Augmented reality glasses providing real-time three-dimensional visual feedback on momentum and exercise form
Obviousness Reasoning
Extending sensor data visualization through augmented interfaces is a known technique for improving user interaction and performance feedback in sports technology
Source Patent Element
Communication element and processor for data processing
PTD Variation
Cloud-based analytics platform aggregating multiple wearable device data for team performance insights
Obviousness Reasoning
Scaling sensor data collection and analysis to team-level insights represents a predictable technological progression using standard cloud computing and big data techniques
Source Patent Element
Momentum measurement device with sensor and processing capabilities
PTD Variation
Neural interface momentum measurement system using electroencephalography for neural activity tracking
Obviousness Reasoning
Expanding sensor measurement to neural interfaces is a logical extension of existing biomechanical measurement technologies, representing an obvious approach to capturing more comprehensive performance data
Source Patent Element
Sensor-based momentum measurement method
PTD Variation
Personalized training system generating customized exercise routines based on tracked momentum generation
Obviousness Reasoning
Adaptive training recommendations using sensor-collected performance data are a predictable application of machine learning techniques in sports performance technologies
35 U.S.C. § 103 Summary: Pursuant to 35 U.S.C. ยง 103, the variations disclosed in this Published Technical Disclosure would have been obvious to a person having ordinary skill in the art at the time of invention, when considering the teachings of US Patent 11857840. The disclosed innovations represent predictable technological extensions employing known techniques of sensor integration, data analytics, and performance visualization, thereby rendering potential patent claims obvious and anticipatable by the prior art.

Original Patent Information

Patent NumberUS 11,857,840
TitleMomentum measurement device, momentum measurement system including the same, and momentum measurement method using the same
Assignee(s)AVANT SOLUTION, INC.