Pass-thoughts are thoughts that a headset records through brainwaves. The computer learns what your individual brainwaves are like and then identifies you. Traditionally, these brainwaves, called electroencephalograms (EEGs), are collected through expensive and sometimes invasive devices, so the pass-thought growth has been severely stunted.
Berkeley’s John Chuang and his team conducted a series of experiments to determine whether a single, less expensive, non-invasive EEG channel provided high enough signal quality for accurate authentication. For authentication, the computer needs to be able to accurately and consistently distinguish your brainwave patterns from someone else’s.
By selecting customized tasks for each user and then customizing each user’s authentication thresholds, the team was able to reduce error rates to below 1%, comparable to the accuracy of more invasive multi-channel EEG signals.