Measurements based on electroencephalogram (EEG) are made by placing electrodes over a human scalp to apply and receive electrical signals. Various implementations of EEG sensors are available. The electroencephalogram (EEG) has recently gained popularity for use in various non-clinical studies but still lacks any robust, single application outside well-controlled laboratory environments. As the limitations of EEG are mostly due to the low spatial resolution, using multiple bio-sensing modalities proves to be better performing than EEG alone
Researchers at UC San Diego have developed a novel dry miniscule sensor that can reliably measure electroencephalogram (EEG) from human scalp in real-time. The features are listed below.
The EEG sensors can be used for multi-modal bio-sensing in a wearable manner outside controlled laboratory environments to produce clean, research-grade measurements and is capable of synchronizing, recording and transmitting data from multiple bio-sensors - PPG, EEG, eye-gaze headset, body motion capture, GSR, etc. - while also providing task modulation features including visual stimulus tagging
EEG sensor designs can use dry electrodes without application of a liquid and provide various features to improve the EEG measurements.
The current system is in the experimental data stage. We have created a prototype and are collecting pilot data to evaluate our system.
This technology is patent pending and available for licensing and/or research sponsorship.
Human-computer interface, Brain-Computer Interface (BCI), Bio-sensing, EEG, Pupillometry, Multi-modality, photoplethysmogram (PPG), Eye-gaze, Stimulus Tagging, Gaming, affective computing