Journal ArticleDOI
Emotional brain-computer interfaces
TLDR
Control of a BCI by recollecting a pleasant memory can be possible and can potentially lead to higher information transfer rates and the ability to recognize emotions can be used in BCIs to provide the user with more natural ways of controlling the BCI through affective modulation.Abstract:
Research in brain-computer interface (BCI) has significantly increased during the last few years. Additionally to their initial role as assisting devices for the physically challenged, BCIs are now proposed for a wider range of applications. As any human-machine interaction system, BCIs can benefit from adapting their operation to the emotional state of the user. BCIs already have access to the brain activity, which provides significant insight into the user's emotional state. This information can be utilised in two manners. (1) Knowledge of the influence of the emotional state on brain activity patterns can allow the BCI to adapt its recognition algorithms, so that the intention of the user is correctly interpreted in spite of signal deviations induced by the subject's emotional state. (2) The ability to recognise emotions can be used to provide the user with more natural ways of controlling the BCI through affective modulation and can potentially lead to higher communication throughput.read more
Citations
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Journal ArticleDOI
Brain computer interfacing: Applications and challenges
TL;DR: The application areas that could benefit from brain waves in facilitating or achieving their goals are shown and major usability and technical challenges that face brain signals utilization in various components of BCI system are discussed.
BookDOI
Brain-Computer Interfaces: Applying our Minds to Human-Computer Interaction
Desney S. Tan,Anton Nijholt +1 more
TL;DR: The book introduces ideas that can help in the quest to interpret intentional brain control and develop the ultimate input device, and challenges researchers to further explore passive brain sensing to evaluate interfaces and feed into adaptive computing systems.
Journal ArticleDOI
Visual and Auditory Brain–Computer Interfaces
TL;DR: A new taxonomy based on the multiple access methods used in telecommunication systems is described, which aims to provide useful guidelines for exploring new paradigms and methodologies to improve the current visual and auditory BCI technology.
Proceedings ArticleDOI
Pay attention!: designing adaptive agents that monitor and improve user engagement
Daniel Szafir,Bilge Mutlu +1 more
TL;DR: This paper designs adaptive agents that monitor student attention in real time using measurements from electroencephalography (EEG) and recapture diminishing attention levels using verbal and nonverbal cues and offers guidelines for developing effective adaptive agents, particularly for educational settings.
Journal ArticleDOI
Multichannel EEG-Based Emotion Recognition via Group Sparse Canonical Correlation Analysis
TL;DR: Detailed experiments on EEG-based emotion recognition based on the SJTU emotion EEG dataset and experimental results demonstrate that the proposed GSCCA method would outperform the state-of-the-art EEG- based emotion recognition approaches.
References
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Journal ArticleDOI
Brain-computer interfaces for communication and control.
Jonathan R. Wolpaw,Jonathan R. Wolpaw,Niels Birbaumer,Niels Birbaumer,Dennis J. McFarland,Gert Pfurtscheller,Theresa M. Vaughan +6 more
TL;DR: With adequate recognition and effective engagement of all issues, BCI systems could eventually provide an important new communication and control option for those with motor disabilities and might also give those without disabilities a supplementary control channel or a control channel useful in special circumstances.