Brain-computer interfaces (BCIs) enable the control of a computer without muscular action. BCIs based on electroencephalography (EEG) have improved dramatically over the past five years, but their head-worn form factor and awkward visibility have challenged their wider adoption.
In these projects, we use a home-rigged, single-electrode EEG placed inside the ear canal (above) to investigate how signals from the ear could be used for “mental gestures,” and for passthought-style authentication (see our past work on passthoughts). Eventually, this research could provide hands-free interaction, authentication, and a seamless and comfortable user experience, all in the form-factor of a typical earbud.
Max T. Curran, Jong-Kai Yang, Nick Merrill, John Chuang. 2016. Passthoughts Authentication with Low Cost EarEEG IEEE Engineering in Medicine and Biology Society (EMBC’16). [PDF]
Nick Merrill, Max T. Curran, Jong-Kai Yang, John Chuang. 2016. Classifying Mental Gestures with In-Ear EEG. 13th International Conference on Wearable and Implantable Body Sensor Networks (BSN ’16). [PDF]