NTX-McGill/NeuroTechX-McGill-2019: A wheelchair controlled by EEG brain signals and enhanced with assisted driving
github.com · 1,730 words · saved by 1 readers
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
- IoT Wheelchair Control System Based on Multi-Mode Sensing and Human-Machine Interactionncbi.nlm.nih.gov
- Toward accessible, real-time brain decoding: Introducing ENIGMA | Alljoined Blogalljoined.com
- Brain–computer interface - Wikipediaen.wikipedia.org
- NOIR: Neural Signal Operated Intelligent Robots for Everyday Activitiesnoir-corl.github.io
- An underleveraged modality in neuroscience | Abhi Upadhyayaxu.sh
- Muse® EEG Mental Fitness & Sleep Headbandchoosemuse.com
- Brain2Qwerty — Decoding typed sentences from non-invasive brain activityfacebookresearch.github.io
- Neural Prosthetics - Scholarpediascholarpedia.org
- Francesco Di Tommaso | g.tec medical engineeringgtec.at
- GitHub - yaxan/EEG-gaming-and-speech: EEG Brain-Computer Interface to play Flappy Bird and use SSVEP to communicategithub.com
- Blog | Neurableneurable.com
- GitHub - NeuroTechX/awesome-bci: Curated Collection of BCI resources · GitHubgithub.com