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Committee Date Time Place Paper Title / Authors Abstract Paper #
MBE, NC
(Joint)		 2017-05-26
14:15		 Toyama Toyama Prefectural Univ. Frequency Filter Networks on EEG Data for Emotion Analysis
Miku Yanagimoto, Chika Sugimoto, Tomoharu Nagao (YNU) NC2017-4		 In EEG-based emotion recognition (EEG-ER), enhancing feature extractors is often difficult.
In such cases, the use of ... [more]		 NC2017-4
pp.19-24
HCGSYMPO
(2nd)		 2015-12-16
- 2015-12-18		 Toyama Toyama International Conference Center Effect Evaluation of Discriminative Models and Data Input Conditions on Emotion Recognition from EEG
Miku Yanagimoto, Chika Sugimoto (YNU) 		Machine learning methods for human emotion recognition using biosignals are proposed, but high accuracy has not been ach... [more]
HCGSYMPO
(2nd)		 2015-12-16
- 2015-12-18		 Toyama Toyama International Conference Center A Study on Emotion Recognition Method from EEG using Deep Convolutional Neural Networks
Miku Yanagimoto, Chika Sugimoto (YNU) 		Feature extraction is a significant issue when we realize high-accuracy affect models in order to recognize emotions fro... [more]
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