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Sepideh Kilani, Seyedeh Nadia Aghili and Mircea Hulea
A new approach is introduced to address the subject dependency problem in P300-based brain-computer interfaces (BCI) by using transfer learning. The occurrence of P300, an event-related potential, is primarily associated with changes in natural neuron ac...
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Woo-Sung Choi and Hong-Gi Yeom
A brain?computer interface (BCI) is a promising technology that can analyze brain signals and control a robot or computer according to a user?s intention. This paper introduces our studies to overcome the challenges of using BCIs in daily life. There are...
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Mi-Hyun Choi, Jin-Ju Jung, Je-Hyeop Lee, Soon-Cheol Chung, Hyun-Kyung Park and Hyun-Jun Kim
This study aimed to compare the cognitive performance and event-related potential (ERP) patterns between females who have given birth (parous) and those who have not (nulliparous). A total of 50 female participants, including 27 who were parous (33.2 ± 3...
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Claudio Ciprian, Kirill Masychev, Maryam Ravan, Akshaya Manimaran and AnkitaAmol Deshmukh
Schizophrenia is a serious mental illness associated with neurobiological deficits. Even though the brain activities during tasks (i.e., P300 activities) are considered as biomarkers to diagnose schizophrenia, brain activities at rest have the potential ...
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Feng Li, Xiaoyu Li, Fei Wang, Dengyong Zhang, Yi Xia and Fan He
Aiming at enhancing the classification accuracy of P300 Electroencephalogram signals in a non-invasive brain?computer interface system, a novel P300 electroencephalogram signals classification algorithm is proposed which is based on improved convolutiona...
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Grégoire Cattan, Anton Andreev and Etienne Visinoni
The integration of a P300-based brain?computer interface (BCI) into virtual reality (VR) environments is promising for the video games industry. However, it faces several limitations, mainly due to hardware constraints and limitations engendered by the s...
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Victor S. Braz,Ana Claudia Souza,Gustavo F. Rodrigues
Pág. 40 - 43
As the communication between brain and computer becomes more accessible the extraction of important features of electrophysiological signals is an essential step in artificial communication systems. This paper proposes the usage of the Empirical Mode Dec...
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Grégoire Cattan, Cesar Mendoza, Anton Andreev and Marco Congedo
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Wahyu Caesarendra
Pág. 9 - 16
The progress of today's technology is growing very quickly. This becomes the motivation for the community to be able to continue and provide innovations. One technology to be developed is the application of brain signals or called with electroencephalogr...
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Eduardo Carabez, Miho Sugi, Isao Nambu and Yasuhiro Wada
As brain-computer interfaces (BCI) must provide reliable ways for end users to accomplish a specific task, methods to secure the best possible translation of the intention of the users are constantly being explored. In this paper, we propose and test a n...
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