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CogniMeter: EEG-based brain states monitoring

: Hou, X.; Liu, Y.; Lim, W.L.; Lan, Z.; Sourina, O.; Mueller-Wittig, W.; Wang, L.


Gavrilova, M.L.:
Transactions on Computational Science XXVIII : Special Issue on Cyberworlds and Cybersecurity
Berlin: Springer, 2016 (Lecture Notes in Computer Science 9590)
ISBN: 978-3-662-53089-4 (Print)
ISBN: 978-3-662-53090-0 (Online)
Aufsatz in Buch
Fraunhofer IDM@NTU ()

Electroencephalogram (EEG) techniques are traditionally used in the medical field. Recent research work focuses on applying these techniques to daily life with wireless and relatively low-price EEG devices available in the market. As a result, applications such as neurofeedback training, neuromarketing, emotion, stress, mental workload recognition, etc. using EEG techniques on healthy adults have been developed. Since the EEG measures and records electrical activity in the brain, it is possible for it to reflect a person’s brain states. In this paper, we describe a novel brain computer interface called CogniMeter integrated with proposed real-time emotion, mental workload, and stress recognition algorithms. With this system, we can assess human emotions, mental workload, and stress in real time. This work can be applied as a human study tool in many fields. For example, the wellbeing of users within a system or workers in industry can be monitored to improve their protection from overly stressful workload conditions. In research, brain state monitoring can be applied in simulation scenarios during human factor study experiments. In marketing, a person’s emotional response toward products or advertisements can be studied using EEG-based brain states monitoring.