Detection of Gait Initiation Through a ERD-Based Brain-Computer Interface
In this paper, an experiment designed to detect the will to perform several steps forward (as gait initiation) before it occurs using the electroencephalographic (EEG) signals collected from the scalp is presented. In order to detect this movement intention, the Event-Related Desynchronization phenomenon is detected using a SVM-based classifier. The preliminary results from seven users have been presented. In this work, the results obtained in a previous paper are enhance obtaining similar true positive rates (around 66 % in average) but reducing the false positive rates (with an average around 20 %). In the future, this improved Brain-Computer Interface will be used as part of the control system of an exoskeleton attached to the lower limb of people with incomplete and complete spinal cord injury to initiate their gait cycle.
KeywordsSupport Vector Machine Spinal Cord Injury Inertial Measurement Unit Movement Onset Functional Electrical Stimulation
This research has been funded by the Commission of the European Union under the BioMot project—Smart Wearable Robots with Bioinspired Sensory-Motor Skills (Grant Agreement number IFP7-ICT-2013-10-611695) and by Conselleria d’Educació, Cultura i Esport of Generalitat Valenciana of Spain through grant VALi+d ACIF/2012/135.
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