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  1. NTU Scholars
  2. 電機資訊學院
  3. 電機工程學系
Please use this identifier to cite or link to this item: https://scholars.lib.ntu.edu.tw/handle/123456789/611228
Title: Entropy-assisted multi-modal emotion recognition framework based on physiological signals
Authors: AN-YEU(ANDY) WU 
Keywords: Affective Computing; Extreme Gradient Boosting; Multi-Scale Entropy; Multi-Scale Permutation Entropy
Issue Date: 2019
Start page/Pages: 22-26
Source: 2018 IEEE EMBS Conference on Biomedical Engineering and Sciences, IECBES 2018 - Proceedings
Abstract: 
As the result of the growing importance of the Human Computer Interface system, understanding human’s emotion states has become a consequential ability for the computer. This paper aims to improve the performance of emotion recognition by conducting the complexity analysis of physiological signals. Based on AMIGOS dataset, we extracted several entropy-domain features such as Refined Composite Multi-Scale Entropy (RCMSE), Refined Composite Multi-Scale Permutation Entropy (RCMPE) from ECG and GSR signals, and Multivariate Multi-Scale Entropy (MMSE), Multivariate Multi-Scale Permutation Entropy (MMPE) from EEG, respectively. The statistical results show that RCMSE in GSR has a dominating performance in arousal, while RCMPE in GSR would be the excellent feature in valence. Furthermore, we selected XGBoost model to predict emotion and get 68% accuracy in arousal and 84% in valence. © 2018 IEEE.
URI: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85062768378&doi=10.1109%2fIECBES.2018.8626634&partnerID=40&md5=99f32458d6834ce03eb0a0ec19156664
https://scholars.lib.ntu.edu.tw/handle/123456789/611228
ISBN: 9.78154E+12
DOI: 10.1109/IECBES.2018.8626634
metadata.dc.subject.other: Biomedical engineering; Entropy; Human computer interaction; Interface states; Physiology; Signal analysis; Speech recognition; Affective Computing; Complexity analysis; Emotion recognition; Gradient boosting; Human computer interfaces; Multi-scale entropies; Permutation entropy; Physiological signals; Biomedical signal processing
Appears in Collections:電機工程學系

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臺大位居世界頂尖大學之列,為永久珍藏及向國際展現本校豐碩的研究成果及學術能量,圖書館整合機構典藏(NTUR)與學術庫(AH)不同功能平台,成為臺大學術典藏NTU scholars。期能整合研究能量、促進交流合作、保存學術產出、推廣研究成果。

To permanently archive and promote researcher profiles and scholarly works, Library integrates the services of “NTU Repository” with “Academic Hub” to form NTU Scholars.

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開放取用是從使用者角度提升資訊取用性的社會運動,應用在學術研究上是透過將研究著作公開供使用者自由取閱,以促進學術傳播及因應期刊訂購費用逐年攀升。同時可加速研究發展、提升研究影響力,NTU Scholars即為本校的開放取用典藏(OA Archive)平台。(點選深入了解OA)

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