Adaptive Seat Cushion Assembly with Integrated AI and Machine Learning

Publication ID: 24-11857471_0005_PTD
Published: October 28, 2025
Category:Future Evolutions & Paradigm Shifts

Legal Citation

pr1or.art Inc., “Adaptive Seat Cushion Assembly with Integrated AI and Machine Learning,” Published Technical Disclosure No. 24-11857471_0005_PTD, Published October 28, 2025, available at https://archive.pr1or.art/24-11857471_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. 11,857,471.

Summary of the Inventive Concept

A next-generation seat cushion assembly that incorporates self-learning, adaptive materials, neural networks, and machine learning algorithms to provide real-time support and comfort optimization for users, while integrating with cloud-based analytics and AI-powered pressure ulcer prevention.

Background and Problem Solved

The original patent's adjustable seat cushion assembly, while providing improved positional stability and pressure offloading, has limitations in terms of its static design and lack of adaptability to individual user needs. The new inventive concept addresses these limitations by introducing adaptive materials and AI-driven support optimization, enabling a more personalized and dynamic user experience.

Detailed Description of the Inventive Concept

The adaptive seat cushion assembly comprises a self-learning, adaptive material layer that adjusts its support properties in real-time based on user pressure and movement patterns. A neural network-based controller integrates user data to optimize support and comfort. The assembly may also include a sensor array that tracks user biometrics and movement patterns, and a cloud-based analytics platform that provides real-time feedback and recommendations for optimizing user comfort and support. The system can be integrated with a modular, interchangeable design, allowing for easy customization and adaptation to different user needs and environments.

Novelty and Inventive Step

The new claims introduce a paradigm shift in seat cushion technology by incorporating AI, machine learning, and adaptive materials, enabling real-time support optimization and personalized comfort. This is a significant departure from the original patent's static design and represents a novel and non-obvious advancement in the field.

Alternative Embodiments and Variations

Alternative embodiments may include the use of different adaptive materials, such as shape-memory alloys or polymers, or the integration of additional sensors, such as temperature or humidity sensors, to further enhance the system's adaptability and responsiveness. Variations may also include the development of specialized top modules for specific user groups, such as athletes or individuals with disabilities.

Potential Commercial Applications and Market

The adaptive seat cushion assembly has significant commercial potential in the healthcare, mobility, and gaming industries, where user comfort and support are critical. The technology may also be applied to other seating applications, such as office chairs or vehicle seats, to enhance user experience and reduce the risk of pressure ulcers and discomfort.

CPC Classifications

SectionClassGroup
A A61 A61G5/1045
A A47 A47C7/142
A A47 A47C7/18

Field of Art

Assistive mobility and seating technologies, specifically wheelchair and adaptive seat cushion design, involving biomechanical engineering, materials science, and ergonomic support systems

Person of Ordinary Skill (PHOSITA) Profile

A biomedical engineer or rehabilitation technology specialist with expertise in adaptive seating design, materials engineering, sensor integration, and understanding of user biomechanical requirements

Obviousness Rationale

A PHOSITA would recognize that integrating machine learning and adaptive materials into the existing adjustable seat cushion design represents a predictable technological evolution. The source patent's foundational air support zone technology provides a clear framework for implementing more sophisticated sensing and adaptive capabilities. The proposed AI-driven modifications represent incremental improvements using known techniques in sensor integration and machine learning applied to an existing technical domain.

Obvious Combinations & Variations

Source Patent Element
Air support zones with independent inflation and deflation capabilities
PTD Variation
Neural network-based controller dynamically adjusting air support zones based on real-time user pressure mapping
Obviousness Reasoning
Extending zone-based support with automated control represents a predictable application of known sensor and control technologies to an existing mechanical design
Source Patent Element
Base design with recessed leg support and support portions
PTD Variation
3D body modeling and machine learning algorithms predicting optimal support zone configurations
Obviousness Reasoning
Customizing support geometries using computational modeling is a standard design optimization technique in ergonomic product development
Source Patent Element
Wheelchair seat cushion assembly focused on user positioning
PTD Variation
Cloud-based analytics platform providing real-time biomechanical feedback and pressure ulcer prevention
Obviousness Reasoning
Integrating digital monitoring with physical support systems is a known approach in medical assistive technologies
Source Patent Element
Modular seat cushion base design
PTD Variation
Interchangeable application-specific top modules with adaptive material layers
Obviousness Reasoning
Modular design with material variation is a standard engineering approach for creating flexible, customizable product platforms
35 U.S.C. § 103 Summary: Based on the teachings of US Patent 11857471 and the disclosed adaptive seat cushion technologies, a person of ordinary skill in the art would find the claimed AI-integrated, self-adjusting seat cushion assembly obvious and anticipated, as the proposed variations represent predictable combinations of known techniques in sensor integration, machine learning, and adaptive materials design.

Original Patent Information

Patent NumberUS 11,857,471
TitleAdjustable seat cushion
Assignee(s)PERMOBIL, INC.