EEG in UX Research: Measuring Emotions, Attention & Cognitive Load
From predicting frustration to adaptive interfaces, EEG is redefining UX research. Here’s why it matters now.
Category BCI
Driving to the future: ExG biosignals in the automotive industry
Explore how ExG biosignals (EEG, ECG, EMG) are transforming automotive R&D for enhanced safety, intuitive HMIs, and personalized driving. Discover how these physiological insights from drivers lead to adaptive vehicle systems and improved well-being.
Detecting Emotion [Using EEG & Fuzzy Logic]
Students at the University of Michigan's Myelin group have made significant strides in detecting human emotion from neurological signals using EEG and machine learning. By leveraging a custom-built video game and Mentalab's mobile EEG headset, they achieved an impressive 94.7% accuracy in anger detection through the innovative application of fuzzy logic for data classification.
Creating Music With Mentalab Explore [EEGSynth]
Prepare to be amazed! Mentalab's collaborator, Dr. Stephen Whitmarsh, is pioneering a unique application of EEG by transforming brain waves into musical sound waves using EEGsynth, an open-source Python codebase. We're excited to share insights from Dr. Whitmarsh himself on how he integrated Mentalab Explore with EEGsynth to achieve this innovative fusion of neuroscience and music.
Use SSVEPs to Increase Your Signal-To-Noise Ratio in EEG
Reducing noise is paramount in EEG research, especially when the signal-to-noise ratio is low, as high noise levels can obscure significant findings and hinder publication. While traditional noise reduction methods are often cumbersome, Steady-State Visually Evoked Potentials (SSVEPs) offer a powerful alternative to enhance signal visibility.
P300 Event Related Potentials
Event Related Potentials (ERPs) are brain responses triggered by stimuli, a fundamental tool in neuroscience and psychology. To visualize these subtle electrophysiological signals using EEG, noise must be minimized, often by averaging data from multiple trials. The P300, a well-studied ERP, is a positive waveform emerging around 300 milliseconds after an unexpected event, commonly elicited using the oddball paradigm where rare "deviant" stimuli are interspersed among frequent "default" ones.
EEG SSVEP Classifier [The Basics]
Steady-State Visually Evoked Potentials (SSVEPs) are brain signals that synchronize with flickering visual stimuli, making them a popular and reliable tool for Brain-Computer Interfaces (BCIs). By detecting which flickering frequency matches a user's neural activity, SSVEP-based BCIs can enable control over external systems with high accuracy and minimal training. This post delves into SSVEPs, illustrating their application with examples of online and offline classifiers developed using the Mentalab Explore system, freely available for researchers to build upon.