Adaptive Posture Training Systems

Publication ID: 24-11857451_0005_PTD
Published: October 28, 2025
Category:Future Evolutions & Paradigm Shifts

Legal Citation

pr1or.art Inc., “Adaptive Posture Training Systems,” Published Technical Disclosure No. 24-11857451_0005_PTD, Published October 28, 2025, available at https://archive.pr1or.art/24-11857451_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. 11,857,451.

Summary of the Inventive Concept

A next-generation posture training technology that integrates AI, machine learning, and computer vision to provide personalized coaching, real-time correction, and optimal posture alignment.

Background and Problem Solved

The original patent, 'Shapable posture training device', addresses the need for improving posture through wearable devices. However, it has limitations in terms of adaptability, accuracy, and user engagement. The new inventive concept overcomes these limitations by introducing AI-powered, wearable, and virtual reality-based solutions that provide real-time feedback, personalized coaching, and optimal posture alignment.

Detailed Description of the Inventive Concept

The new inventive concept comprises a range of adaptive posture training systems, including wearable, AI-powered devices that adapt to a user's body shape and posture condition, and virtual reality-based platforms that utilize immersive, gamified exercises and AI-driven feedback. The systems incorporate machine learning-based algorithms and computer vision to analyze a user's posture, detect potential issues, and provide personalized recommendations for improvement. The wearable devices feature shapable, ergonomic chassis that adapt to the user's body, and neural network-based feedback modules that provide real-time correction and coaching.

Novelty and Inventive Step

The new inventive concept introduces a paradigm shift in posture training technology by integrating AI, machine learning, and computer vision to provide personalized, real-time feedback and optimal posture alignment. The wearable, AI-powered devices and virtual reality-based platforms are novel and non-obvious compared to the original patent, which relied on manual adjustments and limited feedback mechanisms.

Alternative Embodiments and Variations

Alternative embodiments of the inventive concept could include smart, posture-correcting exosuits with artificial muscles, biomechanical posture-analysis systems, and hybrid machine learning-based and computer vision-based approaches for posture detection and correction.

Potential Commercial Applications and Market

The adaptive posture training systems have significant commercial potential in the healthcare, fitness, and wellness industries, with potential applications in physical therapy, athletic training, and workplace ergonomics.

CPC Classifications

SectionClassGroup
A A61 A61F5/026
A A61 A61F5/028

Field of Art

Biomechanical and ergonomic posture correction technologies, specifically wearable devices for spinal alignment and postural training, requiring expertise in biomechanical engineering, medical device design, and human movement analysis

Person of Ordinary Skill (PHOSITA) Profile

A biomedical engineer or ergonomic device designer with advanced knowledge of human anatomy, wearable technology, and adaptive biomechanical systems, capable of integrating sensor technologies and mechanical design principles

Obviousness Rationale

A PHOSITA would recognize that integrating AI, machine learning, and computer vision into the existing shapable posture training device represents a predictable technological evolution. The source patent's core concept of a adaptable, wearable posture correction mechanism provides a clear foundation for incorporating advanced sensing and feedback technologies. The proposed variations represent logical extensions of the original device's core functionality using well-established technological approaches in biomechanical monitoring and correction systems.

Obvious Combinations & Variations

Source Patent Element
Shapable chassis configured to be worn against thoracic spine region
PTD Variation
AI-powered adaptive chassis that dynamically adjusts based on user's body shape and posture condition
Obviousness Reasoning
Predictable application of machine learning to existing adjustable device design, representing a known technique for enhancing wearable technology functionality
Source Patent Element
Rod receivers with magnetic engagement mechanisms
PTD Variation
Neural network-based feedback modules integrated into device's structural components
Obviousness Reasoning
Logical integration of sensor and feedback technologies into existing mechanical design, representing a standard approach in smart wearable device development
Source Patent Element
Pliable body configured for postural training
PTD Variation
Computer vision-enabled system for real-time posture analysis and correction
Obviousness Reasoning
Predictable enhancement of manual posture training device with automated monitoring technologies, utilizing well-established computer vision techniques
Source Patent Element
Removable and adjustable rod components
PTD Variation
Virtual reality platform with immersive posture correction exercises
Obviousness Reasoning
Obvious extension of physical training device into digital training environment, representing a known approach for expanding therapeutic technologies
Source Patent Element
Chassis designed to support thoracic spine region
PTD Variation
Exosuit with artificial muscles providing corrective biomechanical forces
Obviousness Reasoning
Predictable technological progression from passive support to active correction, utilizing known principles of biomechanical engineering
35 U.S.C. § 103 Summary: Pursuant to 35 U.S.C. ยง 103, the variations disclosed herein would have been obvious to a person having ordinary skill in the art at the time of invention, as they represent predictable technological extensions of the foundational teachings in US Patent 11857451, specifically demonstrating how known techniques in AI, machine learning, and computer vision could be integrated into existing posture training device architectures to enhance functionality through routine design modifications.

Original Patent Information

Patent NumberUS 11,857,451
TitleShapable posture training device
Assignee(s)BAKBON LLC