<div dir="ltr">Dear Matheus,<div><br></div><div>EEG measurement has no sensitivity to basal ganglia, so it cannot measure direct activation of these emotion centers. It may reflect corresponding networks in cerebral cortex, but I doubt how clearly our cortical EEG emotion network is defined.</div><div><br></div><div>So my bet is no.</div><div>If you use rigorously controlled design, you may be able to find cerebral cortex 'echo' of emotion. But this requires a good experimental design. </div><div><br></div><div>Makoto</div></div><div class="gmail_extra"><br><div class="gmail_quote">On Mon, Feb 20, 2017 at 3:06 PM, Matheus Segalotto <span dir="ltr"><<a href="mailto:matheus.segalotto@gmail.com" target="_blank">matheus.segalotto@gmail.com</a>></span> wrote:<br><blockquote class="gmail_quote" style="margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex"><div dir="ltr">Dear eeglablist,<div><br></div><div>I collected raw EEG, using 14 channels at 256Hz in my experiment about source code.</div><div>I have a question about emotions and how to classify it.<br></div><div><br></div><div>Is it possible to classify emotions even though my experiment is not inducing explicitly any emotions?</div><div>Is there a method that can classify emotions without a training the subject?</div><div><br></div><div>I searched many articles and so far all of them have an experiment with pictures or music with pre-defined emotions on these inputs.</div><div><br></div><div>Thank you for your help. </div><span class="HOEnZb"><font color="#888888"><div><br></div></font></span></div><span class="HOEnZb"><font color="#888888"><div dir="ltr">-- <br></div><div data-smartmail="gmail_signature"><div dir="ltr"><div style="line-height:19.5px">Atenciosamente,</div><div style="line-height:19.5px">Matheus Segalotto</div></div></div>
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