Brain-Computer Interface-based autonomous communicating robot for disability assessment
Résumé
Designing intelligent and assistive devices for disabled persons' mobility requires appropriate assistive tools and techniques in order to insure efficiency and security in use. In this work we present a new architecture of an autonomous and communicating mobile robot for disability assistance. This architecture represents a first step towards an implementation to an intelligent wheelchair for the mobility of individuals with motor impairment. The proposed design provides two use modules namely the navigation based only on the brain signals and the intramural mapping of buildings. For the first use module, our approach exploits the statistical characteristics of the brain signal to extract eye movements and transform them into commands to control the robot. Concerning the intramural mapping module, our proposed solution is based on an obstacle detection algorithm implemented on a Raspberry PI 3 board using the ROS system.
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