Next-Generation Mobility Device Seat System

Publication ID: 24-11857473_0005_PTD
Published: October 28, 2025
Category:Future Evolutions & Paradigm Shifts

Legal Citation

pr1or.art Inc., “Next-Generation Mobility Device Seat System,” Published Technical Disclosure No. 24-11857473_0005_PTD, Published October 28, 2025, available at https://archive.pr1or.art/24-11857473_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. 11,857,473.

Summary of the Inventive Concept

A futuristic mobility device seat system that integrates AI, haptic feedback, modular design, biomechanical modeling, and predictive maintenance to revolutionize user comfort, safety, and experience.

Background and Problem Solved

The original patent, 'Mobility device seat', addresses the need for a removable seat in mobility devices. However, the integrated seat and chassis design can be limiting in terms of customization, comfort, and safety. The next-generation seat system aims to overcome these limitations by introducing advanced technologies that prioritize user comfort, safety, and experience.

Detailed Description of the Inventive Concept

The next-generation mobility device seat system comprises a seat pan mounting bracket with integrated AI-powered sensors for real-time user comfort analysis, a dynamically adjusting backrest shell configured to optimize user posture and reduce fatigue, a seat cushion with embedded haptic feedback technology for enhanced user experience, and a self-learning algorithm for personalized seat configuration recommendations. Additionally, the system features a modular, 3D-printed seat frame with customizable geometry and material properties, an advanced biomechanical modeling system for predicting and preventing user injuries, and a real-time feedback loop for adjusting seat configuration to optimize user safety and comfort. Furthermore, the system incorporates a neural network-based predictive maintenance system for detecting and preventing seat component failures and a decentralized, blockchain-based supply chain management system for seamless component replacement and upgrade.

Novelty and Inventive Step

The next-generation mobility device seat system's integration of AI, haptic feedback, modular design, biomechanical modeling, and predictive maintenance represents a significant departure from the original patent's design. The inventive step lies in the combination of these advanced technologies to create a highly customizable, comfortable, and safe seat system that can adapt to individual users' needs and preferences.

Alternative Embodiments and Variations

Alternative embodiments of the next-generation mobility device seat system could include variations in the type and arrangement of sensors, the material and geometry of the seat frame, and the algorithms used for predictive maintenance and biomechanical modeling. Additionally, the system could be adapted for use in different types of mobility devices, such as scooters or bicycles.

Potential Commercial Applications and Market

The next-generation mobility device seat system has significant commercial potential in the healthcare, rehabilitation, and mobility industries. The system's advanced features and customizable design could appeal to users seeking high-end mobility devices, as well as healthcare providers and rehabilitation centers looking to improve patient outcomes and satisfaction.

CPC Classifications

SectionClassGroup
A A61 A61G5/1091
A A61 A61G5/1043
A A61 A61G5/1056
A A61 A61G5/04
A A61 A61G5/122
A A61 A61G5/125
A A61 A61G5/128

Field of Art

Mobility assistive device design, focusing on seat systems, user interface integration, and ergonomic adaptations for assistive technologies

Person of Ordinary Skill (PHOSITA) Profile

A biomedical engineer or rehabilitation technology specialist with expertise in adaptive mobility device design, ergonomics, sensor integration, and user-centered engineering with 3-5 years professional experience

Obviousness Rationale

A PHOSITA would recognize that the advanced seat system represents predictable technological extensions of existing mobility device seat designs, leveraging known sensor, AI, and adaptive technologies to incrementally improve user experience and device functionality. The disclosed variations represent logical combinations of existing technological capabilities within mobility assistive device engineering. The integration of AI, biomechanical modeling, and adaptive technologies would be considered an expected progression of mobility device seat design.

Obvious Combinations & Variations

Source Patent Element
Coupling assembly for user controller mount with ambidextrous parts
PTD Variation
AI-powered sensor integration into seat mounting bracket for user interaction tracking
Obviousness Reasoning
Predictable application of sensor technology to existing mounting interfaces, enabling enhanced user interaction monitoring
Source Patent Element
Mobility device seat with configurable positioning
PTD Variation
Dynamically adjusting backrest with biomechanical modeling for posture optimization
Obviousness Reasoning
Known ergonomic design principle of adaptive seating, extending existing seat configuration concepts with computational modeling
Source Patent Element
Mobility device seat with integrated components
PTD Variation
3D-printed modular seat frame with customizable geometry and material properties
Obviousness Reasoning
Predictable design evolution using additive manufacturing techniques to create more adaptable mobility device components
Source Patent Element
User controller mount with configurable positioning
PTD Variation
Haptic feedback technology embedded in seat cushion for enhanced user experience
Obviousness Reasoning
Logical extension of user interface design principles, applying known haptic technologies to mobility device seating
Source Patent Element
Mobility device seat with mechanical coupling mechanisms
PTD Variation
Neural network-based predictive maintenance system for component failure detection
Obviousness Reasoning
Predictable application of machine learning to existing mechanical system monitoring, representing an incremental technological improvement
35 U.S.C. § 103 Summary: Based on the teachings of US Patent 11857473 and the disclosed technological variations, a person of ordinary skill in the art would find the claimed mobility device seat system innovations obvious and non-patentable, as the disclosed technical elements represent predictable combinations of known assistive technology design principles and computational engineering techniques.

Original Patent Information

Patent NumberUS 11,857,473
TitleMobility device seat
Assignee(s)DEKA Products Limited Parternship