NTX-McGill/NeuroTechX-McGill-2019: A wheelchair controlled by EEG brain signals and enhanced with assisted driving

A wheelchair controlled by EEG brain signals and enhanced with assisted driving

Milo: The Brain-Controlled Wheelchair Milo helps people navigate without the use of hands or limbs. We think it could be especially useful for people with ALS, locked-in syndrome, or other forms of paralysis. Our brain-computer interface makes use of electroencephalography (EEG), an affordable, accessible, and non-invasive technique to detect brain activity. Specifically, Milo uses motor imagery signals to turn, by detecting a suppression of the mu rhythm (7-13 Hz) in the sensorimotor cortex (the brain area associated with movement) when users imagine movements. In addition to motor imagery, e

related reading

• Meet Milo, the Brain-Controlled Wheelchairyoutube.com
• IoT Wheelchair Control System Based on Multi-Mode Sensing and Human-Machine Interactionncbi.nlm.nih.gov
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• GitHub - NeuroTechX/awesome-bci: Curated Collection of BCI resources · GitHubgithub.com