Brain Computer Interfacing: A Multi-Modal Perspective

Personalised, Multi-modal, Affective State Detection for Hybrid Brain-Computer Music Interfacing

Brain-computer music interfaces (BCMIs) may be used to modulate affective states, with applications in music therapy, composition, and entertainment. However, for such systems to work they need to be able to reliably detect their user’s current affective

A review on EEG based brain computer interface systems feature extraction methods

The brain – computer interface (BCI) provides a communicational channel between human and machine. Most of these systems are based on brain activities. Brain Computer-Interfacing is a methodology that provides a way for communication with the outside environment using the brain thoughts. The success of this methodology depends on the selection of methods to process the brain signals in each pha...

A review on EEG based brain computer interface systems feature extraction methods

The brain – computer interface (BCI) provides a communicational channel between human and machine. Most of these systems are based on brain activities. Brain Computer-Interfacing is a methodology that provides a way for communication with the outside environment using the brain thoughts. The success of this methodology depends on the selection of methods to process the brain signals in each pha...

Implantable Microsystems for High-Resolution Interfacing to the Brain

Towards Multimodal, Multi-party, and Social Brain-Computer Interfacing

In this paper we identify developments that have led to the current interest from computer scientists in Brain-Computer Interfacing (BCI). Nondisabled users have become a target group for BCI applications. Non-disabled users can not be treated as patients. They are free to move and use their hands during the interaction with an application. Therefore BCI should be integrated in a multimodal app...