Detection and Monitoring of Emotional States using Brain Computer Interfaces

Demonstrating that low cost EEG (Electroencephalography) devices can be used to detect emotions with a reasonable accuracy threshold will have an important impact in various fields. For instance, patients in neurorehabilitation units could benefit from emotion-aware assistive technologies. Practitioners dealing with learning disorders could also make use of such an emotion-based training system to improve their effectiveness and efficiency. In addition, software evaluation, particularly computer games, usability assessment and marketing research have also increasing made use of such technologies. A new project in EDA , funded by an Ideas Factory Grant, aims to evaluate the capability of low cost consumer EEG devices in recognising emotions.
The project attempts to establish the connection between human emotions and EEG using low cost consumer devices. Ultimately, it will provide a set of tools for objective measure of emotions, which will be an extremely useful tool for clinicians to carry out assessment on patients, as well as various application areas.
The project will be led by Dr Jim Ang and Dr Farzin Deravi.