Guangliang Yu

Learn More
Capturing user’s emotional state is an emerging way for implicit relevance feedback in information retrieval (IR). Recently, EEGbased emotion recognition has drawn increasing attention. However, a key challenge is effective learning of useful features from EEG signals. In this paper, we present our on-going work on using Deep Belief Network (DBN) to(More)
Affective state recognition based on multiple modalities of physiological signals has been a hot research topic. Traditional methods require designing hand-crafted features based on domain knowledge, which is time-consuming and has not achieved a satisfactory performance. On the other hand, conducting classification on raw signals directly can also cause(More)
  • 1