Anchored by DTU's Centre for Technology Enhanced Learning (CTEL), the six-month programme extends DTU's academic strengths into a technology-enabled format that supports rigorous learning at scale.
Abstract: Despite the high performance of existing state-of-the-art deep learning models for depression detection using electroencephalography (EEG), they incur a heavy computational burden. In this ...
Abstract: sEMG signals hold significant potential for motion prediction, with promising applications in areas such as rehabilitation, sports training, and human-computer interaction. However, ...
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