These areas leverage advancements in artificial intelligence, particularly through the analysis of physiological signals, such as electroencephalography (EEG), to detect emotional states.

By analyzing electroencephalography (EEG) data recorded as participants viewed emotion-inducing video clips and images, researchers achieved diagnostic performance with an F1 score exceeding 0.97.

EEG provides specific measures of unconscious appraisal emotions and visual attention, which survey-measured constructs are unable to capture. The aggregate approach, which provides averaged ...

Recent studies have explored various methods for emotion recognition, particularly using physiological signals like electroencephalography (EEG). One significant advancement is the development of ...

However, access to the cortical correlates of emotional states of a person actively engaged within an environment has not been possible until recently. This study investigates the use of mobile ...

Firefly Neuroscience (AIFF) highlights two impactful studies that demonstrate the utility of advanced Resting Electroencephalograms and ...

Growing body of clinical evidence supports use of Company’s FDA-Cleared BNA™ platform to provide objective measures of drug efficacy and ...

Neuro XR is partnering with US-based Emotiv EEG to launch its first product – a bundle of Emotiv’s brain scanning hardware with Neuro XR’s software.