Brain-computer interfaces (BCIs) have widely been used in medical applications, to facilitate making selections. However, whether they are suitable for recreational applications is unclear as they have rarely been evaluated for user experience. As the scope of the BCI applications is expanding from medical to recreational use, the expectations of BCIs are also changing. Although the performance...

Brain-Computer Interfaces (BCI) are communication systems that use brain activity to control a computer or other devices. The BCI system described in this study is based on the P300 speller BCI paradigm designed by Farwell an Donchin in 1988 [1]. A new unsupervised algorithm is proposed in this paper1. It is based on the projection of the raw EEG signal into the estimation of the P300 subspace....

Brain-computer interfaces (BCIs) allow users to communicate directly with external devices via their brain signals. Recently, BCIs, and wearable computers in particular, have been receiving more attention by government industry as an alternative means of interacting technology. Wearable can combine highly immersive virtual/augmented/mixed reality experiences for entertainment, health monitoring...

Electroencephalography (EEG) signals elicited by multimodal stimuli can drive brain-computer interfaces (BCIs), and research has demonstrated that visual auditory be employed simultaneously to improve BCI performance. However, no studies have investigated the effect of in rapid serial presentation (RSVP) BCIs. In present study, we propose a (RSMP) incorporates artificial facial images voice sti...

The development of brain–computer interfaces (BCI) for multiple applications has undergone extensive growth in recent years. Since distracted driving is a significant cause of traffic accidents, this study proposes one BCI system based on EEG for distracted driving. The removal of artifacts and the selection of useful brain sources are the essential and critical steps in the application of elec...

This paper discusses the potential of brain-computer interfaces (BCI) in the interaction between users and objects in points of interest in a city. We present an initial design of the user experience with BCI, aimed to include users with disabilities but also to enhance the experience of the general public. This design includes a physical space to be conditioned specifically for BCI so users ca...

People with severe motor disabilities can maintain an acceptable quality of life if they can communicate. Brain-computer interfaces (BCIs), which do not depend on muscle control, can provide communication. Four people severely disabled by ALS learned to operate a BCI with EEG rhythms recorded over sensorimotor cortex. These results suggest that a sensorimotor rhythm-based BCI could help maintai...

In this paper we describe our ’Fachstudie’ on the topic of BCI-based video annotation. During our work, we tried to resolve the question if today’s brain-computer-interfaces could be a good solution for implicit multimedia annotation. We describe the BCI devices that currently are on the market and a introduce our prototype, Mediabrain. A user study to evaluate the results is being conducted.

Imagination of various limb movements for patient suffering from several physical hindrances, Brain computer interfaces (BCI) offers analysis of motor imagery EEG which can be shown a new way of communication. Motor imagery data for body movement classification like left hand, right hand, toe, and tongue movement are available on Physionet ATM or BCI competition datasetIII. Using different Feat...

Developing neuroprostheses and advanced communication systems for patients with disabilities has involved considerable scientific and technological efforts. Many recent projects developed software and hardware based on BCIs for such patients. Principles of Brain Computer Interfaces (BCI), technologies used for this type of interfaces and the latest research activities in the field of BCIs are p...