Abstract: A system may include a portable EEG headset configured to capture user EEG signals, a computing device having a graphical user interface, and one or more processors. The one or more processors may be configured to execute instructions to (a) display a sequence of images on the graphical user interface; (b) receive, from the portable EEG headset, user EEG signals that are time-synchronized with the display of the sequence of images; (c) extract from the user EEG signals, one or more event-related potential (ERP) peaks associated with each image; (d) quantify one or more affect-related measures associated with the one or more ERP peaks; and (e) compare the quantified one or more affect-related measures to baseline data to determine a risk to the user.

Abstract: A system may include a portable EEG headset configured to capture user EEG signals, a computing device having a graphical user interface, and one or more processors. The one or more processors may be configured to execute instructions to (a) display a sequence of images on the graphical user interface; (b) receive, from the portable EEG headset, user EEG signals that are time-synchronized with the display of the sequence of images; (c) extract from the user EEG signals, one or more event-related potential (ERP) peaks associated with each image; (d) quantify one or more affect-related measures associated with the one or more ERP peaks; and (e) compare the quantified one or more affect-related measures to baseline data to determine a risk to the user.