EEG motion sickness estimation system


We cooperate with Prof. Ko (NCTU) and Brain Research Center (BRC) to develop an estimation system for motion sickness. We play an important role to choose the important brain area versus frequency by using our core technology. Based on IEA, the estimation system can predict the sickness level and the classifier can predict the sickness stage. The related works were published on IEEE 2012 International Joint Conference on Neural Networks (IJCNN 2012) and IEEE Symposium Series on Computational Intelligence 2013 (SSCI 2013).