Evaluating cognitive mechanisms during walking from eeg signals

Abstract

In this work, three different cognitive mechanisms were analyzed during gait. First, a real-time index of attention level was obtained in real-time. The detection of starting and stopping indices was also evaluated. Finally, the detection of obstacle appearance allows increasing safety during experiments providing a stop command when necessary. The results obtained indicate that it is possible to generate commands related to the patient’s mental state. These commands allow users to be more implicated in their therapies and thus improve their performance.