Monday, 17 October 2016

Real Time Fear Detection Using Wearable Single Channel Electroencephalogram



Emotions are very important for human existence, since they control our ability of decision making, problem solving, communication and negotiation and allow us to adapt to unpredictable changes in the environments. There are many ways to classify emotions from simple pleasure/unpleasure to detailed - happy, sad, disgust, fear, joy and anger. Electroencephalography(EEG - recording of electrical activity along the scalp) have been demonstratedeffective for differentiation between different emotional states. EEG signals are commonly described in terms of rhythmic activity across different frequency bands: a) delta (1-3 Hz), b) theta (4-7 Hz), c) alpha waves (8-13 Hz), d) beta waves (13-30 Hz), e) gamma (30-100+ Hz). Analyzing the distribution of power in respective frequency bands will reveal features that correspond to a particular state of the human mind.

Real Time Fear Detection

The ratio of slow waves to fast waves (SW/FW) has been demonstrated to indicate emotions, behavioral and medical conditions. SW/FWratio was identified as a marker for motivational balance between the rewardand punishment systems. They were also shown to have a negative correlation with fear and anxiety. Increase in Beta waves was correlated with fear.

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