1D convolutional autoencoder-based PPG and GSR signals for real-time emotion classification

DH Kang, DH Kim - IEEE Access, 2022 - ieeexplore.ieee.org
To apply emotion recognition and classification technology to the field of human-robot
interaction, it is necessary to implement fast data processing and model weight reduction …

A companion technology for cognitive technical systems

A Wendemuth, S Biundo - … School, Dresden, Germany, February 21-26 …, 2012 - Springer
Abstract The Transregional Collaborative Research Centre SFB/TRR 62” A Companion
Technology for Cognitive Technical Systems”, funded by the German Research Foundation …

Inter-rater reliability for emotion annotation in human–computer interaction: comparison and methodological improvements

I Siegert, R Böck, A Wendemuth - Journal on Multimodal User Interfaces, 2014 - Springer
To enable a naturalistic human–computer interaction the recognition of emotions and
intentions experiences increased attention and several modalities are comprised to cover all …

[HTML][HTML] Mapping the perception-space of facial expressions in the era of face masks

A Verroca, CM de Rienzo, F Gambarota… - Frontiers in …, 2022 - frontiersin.org
With the advent of the severe acute respiratory syndrome-Corona Virus type 2 (SARS-CoV-
2) pandemic, the theme of emotion recognition from facial expressions has become highly …

Affective content analysis of music emotion through EEG

JL Hsu, YL Zhen, TC Lin, YS Chiu - Multimedia Systems, 2018 - Springer
Emotion recognition of music objects is a promising and important research issues in the
field of music information retrieval. Usually, music emotion recognition could be considered …

[HTML][HTML] Multiple transferable recursive feature elimination technique for emotion recognition based on EEG signals

J Cai, W Chen, Z Yin - Symmetry, 2019 - mdpi.com
Feature selection plays a crucial role in analyzing huge-volume, high-dimensional EEG
signals in human-centered automation systems. However, classical feature selection …

Modeling phonetic pattern variability in favor of the creation of robust emotion classifiers for real-life applications

B Vlasenko, D Prylipko, R Böck… - Computer Speech & …, 2014 - Elsevier
The role of automatic emotion recognition from speech is growing continuously because of
the accepted importance of reacting to the emotional state of the user in human–computer …

[HTML][HTML] Emotion discrimination using spatially compact regions of interest extracted from imaging EEG activity

JI Padilla-Buritica, JD Martinez-Vargas… - Frontiers in …, 2016 - frontiersin.org
Lately, research on computational models of emotion had been getting much attention due
to their potential for understanding the mechanisms of emotions and their promising broad …

Using a PCA-based dataset similarity measure to improve cross-corpus emotion recognition

I Siegert, R Böck, A Wendemuth - Computer Speech & Language, 2018 - Elsevier
In emotion recognition from speech, huge amounts of training material are needed for the
development of classification engines. As most current corpora do not supply enough …

Analysis of significant dialog events in realistic human–computer interaction

D Prylipko, D Rösner, I Siegert, S Günther… - Journal on Multimodal …, 2014 - Springer
This paper addresses issues of automatically detecting significant dialog events (SDEs) in
naturalistic HCI, and of deducing trait-specific conclusions relevant for the design of spoken …