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In this paper we present ezGo, an electric powered wheelchair with a speech based interface and
biosignal monitoring instrumentation. The user can use the voice, a natural communication method, for
controlling the chair movement and obtain information about his health. Additionally a set of semi-autonomous modes with macro recording enable the execution of navigation tasks with little effort and improved precision. The main purpose of the system is to provide severely disabled persons with an assistive device that can improve their confidence and daily independence.
The obtained results on usability tests showed that users consider ezGo a valuable help on their daily tasks and a very desirable addition to standard wheelchairs.
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UTAD - Universidade deTrás-os-Montes e Alto Douro
