I'm a newcomer to the field of computer vision and deep learning. I've seen both systems mentioned in the title used extensively in the literature, and I'm wondering which system would better fit my research group's aims. Namely, we want to assemble a database for training EEG-grounded emotion recognition deep learning models.
Reviewing the literature on emotion recognition, it appears that, among databases, the favoured research grade system is the Neuroscan (Synamps2?). All of the Zheng corpus databases (SEED, SEED-IV, etc.) were assembled with Neuroscan devices (somewhat ambiguously labelled as ESI Neuroscan). However, I see that DEAP, MAHNOB-HCI, and – in past years – eNTERFACE'06 all used the BioSemi (ActiveTwo). Moreover, it would appear that ActiveTwo outperforms the Neuroscan in terms of technical specs (support of active electrodes, for example)
Could any experts in the emotion recognition field or researchers with past EEG experience suggest which of these two systems might be better suited to my goal? Beyond sampling rate, bit depth, impedance, and supported electrodes – what other factors should I consider in comparing these two systems?
Hi,
If your aim is to create an EEG-based emotion recognition database using deep learning, the BioSemi ActiveTwo might be more suitable owing to its advanced technical features, such as active electrodes. Its higher performance could be advantageous for your specific project. Additionally, consider ease of use, software compatibility, and community support.
Hope this helps.
Neuroscan studies are using in psychoplasty of brain studies so resulted the scan method is noninavisive and practical in human studies.
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