C
Christian Mühl
Researcher at German Aerospace Center
Publications - 33
Citations - 4664
Christian Mühl is an academic researcher from German Aerospace Center. The author has contributed to research in topics: Affective computing & Cognition. The author has an hindex of 15, co-authored 32 publications receiving 3485 citations. Previous affiliations of Christian Mühl include University of Twente & French Institute for Research in Computer Science and Automation.
Papers
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Journal ArticleDOI
DEAP: A Database for Emotion Analysis ;Using Physiological Signals
Sander Koelstra,Christian Mühl,Mohammad Soleymani,Jong-Seok Lee,Ashkan Yazdani,Touradj Ebrahimi,Thierry Pun,Anton Nijholt,Ioannis Patras +8 more
TL;DR: A multimodal data set for the analysis of human affective states was presented and a novel method for stimuli selection is proposed using retrieval by affective tags from the last.fm website, video highlight detection, and an online assessment tool.
Journal ArticleDOI
Flaws in current human training protocols for spontaneous Brain-Computer Interfaces: lessons learned from instructional design
TL;DR: This literature study highlights that current spontaneous BCI user training procedures satisfy very few of these requirements and hence are likely to be suboptimal and proposes new research directions that are theoretically expected to address some of these flaws and to help users learn the BCI skill more efficiently.
Journal ArticleDOI
A survey of affective brain computer interfaces: principles, state-of-the-art, and challenges
TL;DR: It is shown that there is a growing body of literature that evidences the capabilities, but also the limitations and challenges of affect detection from neurophysiological activity, and possible applications of aBCI in a general taxonomy of brain-computer interface approaches.
Book ChapterDOI
Single trial classification of EEG and peripheral physiological signals for recognition of emotions induced by music videos
Sander Koelstra,Ashkan Yazdani,Mohammad Soleymani,Christian Mühl,Jong-Seok Lee,Anton Nijholt,Thierry Pun,Touradj Ebrahimi,Ioannis Patras +8 more
TL;DR: This work presents some promising results of its research in classification of emotions induced by watching music videos, and shows robust correlations between users' self-assessments of arousal and valence and the frequency powers of their EEG activity.
Book ChapterDOI
Brain-Computer Interfacing and Games
Danny Plass-Oude Bos,Boris Reuderink,Bram van de Laar,Hayrettin Gürkök,Christian Mühl,Mannes Poel,Anton Nijholt,Dirk Heylen +7 more
TL;DR: This chapter gives an overview of the state of the art ofBCI in games and discusses the consequences of applying knowledge from Human-Computer Interaction (HCI) to the design of BCI for games.