Network of intelligent electric wheelchairs to assist people with reduced mobility

Abstract

The present invention concerns a network of smart wheelchairs integrating advanced technologies to meet the assistance needs of people with reduced mobility (PRM). Each connected wheelchair is part of a network (Smart-Chair Network), enabling collaborative learning between several wheelchairs. Using a cloud platform and a federated learning system, the data collected locally by each vehicle is analyzed to produce enriched global models, optimizing their performance. This system makes it possible to anticipate complex scenarios, react effectively to environmental changes and continuously improve navigation capabilities through collective experience. The wheelchairs can be operated in three different ways: manually, via a mobile application or by voice. They incorporate an advanced navigation system with sensors to detect obstacles and adjust trajectories. A facial recognition module identifies the user and adapts the parameters. An artificial intelligence-based anti-collision system adjusts trajectories in real time to avoid collisions. An expert system based on artificial intelligence analyzes data in real time, anticipates maintenance needs and issues recommendations or alerts in the event of critical conditions. The ergonomic design includes a folding frame, an adjustable seat and a cushioning system for optimum comfort. The device according to the invention is particularly designed to address the lack of personalized and secure mobility solutions, especially in complex environments. The invention is primarily intended for domestic or hospital use, to improve users' autonomy, safety and quality of life.