Autonomous Wheelchair Suspension System

A next-generation wheelchair suspension system that integrates artificial intelligence, machine learning, and advanced sensors to provide unparalleled comfort, safety, and mobility for users.

The original patent, 'Wheelchair suspension', addressed the need for wheelchairs to traverse obstacles such as curbs, but it had limitations in terms of adaptability to changing terrain conditions and user experience. The new inventive concept builds upon this foundation by introducing autonomous navigation, self-adjusting shock absorbers, and real-time feedback to users.

The autonomous wheelchair suspension system comprises a self-adjusting, artificial-intelligence-controlled shock absorber that dynamically adapts to terrain changes, providing a smoother ride for the user. The system utilizes machine learning algorithms to predict and adjust to changing terrain conditions, ensuring optimal balance and stability. The modular, interchangeable component design allows users to customize and upgrade their suspension system as needed. Furthermore, the system integrates with a wearable device, providing real-time feedback and data analysis to improve user safety, comfort, and overall mobility.

The new claims introduce a paradigm shift in wheelchair suspension technology by incorporating artificial intelligence, machine learning, and advanced sensors, which are not present in the original patent. The autonomous navigation and self-adjusting shock absorber features are novel and non-obvious improvements over the original patent.

Alternative embodiments of the inventive concept could include variations in the type of artificial intelligence used, the integration of additional sensors or feedback mechanisms, or the application of the technology to other types of mobility devices.

The autonomous wheelchair suspension system has significant commercial potential in the healthcare, mobility, and assistive technology industries, with potential applications in rehabilitation centers, hospitals, and private homes.