Comparison of Smoothing Methods to Remove Artifacts in Emotion Recognition based on Electroencephalogram Signals

• Main Authors: Wirawan, I Made Agus, Wardoyo, Retantyo, Lelono, Danang, Kusrohmaniah, Sri
• Format: Conference or Workshop Item PeerReviewed
• Language: English
• Published: 2022
• Subjects: Information and Computing Sciences
• Online Access: https://repository.ugm.ac.id/283620/1/Comparison_of_Smoothing_Methods_to_Remove_Artifacts_in_Emotion_Recognition_based_on_Electroencephalogram_Signals.pdf; https://repository.ugm.ac.id/283620/; https://ieeexplore.ieee.org/document/10006909
• Institution: Universitas Gadjah Mada

Although the baseline reduction approach improves emotion recognition accuracy, artifacts in the baseline Electroencephalogram signal can affect emotion recognition accuracy. This study examines and compares three smoothing methods to remove artifacts in the baseline Electroencephalogram signal to o...