New model recognizes emotions in deaf individuals by analyzing EEG signals

Researchers at Tianjin University of Technology in China have recently developed a new brain network-based framework for recognizing the emotions of deaf individuals. This framework, presented in a paper published in IEEE Sensors Journal, is specifically based on a computational technique known as stacking ensemble learning, which combines the predictions made by multiple different machine learning algorithms.

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