Results 31 to 40 of about 5,224,879 (222)

Brain Computer Interface to operate domotic environment

Interaction Design and Architecture(s), 2009
The brain computer interface (BCI) technology allows a direct connection between brain and computer without any muscular activity required, and thus it offers a unique opportunity to enhance and/or to restore communication and actions into ...
Fabio Aloise, E. Morabito, A. Riccio, M. Risetti, D. Mattia, M. Mecella, Tiziana Catarci, F. Babiloni, S. Salinari, F. Cincotti   +9 more
doaj   +1 more source

Discriminative methods for classification of asynchronous imaginary motor tasks from EEG data [PDF]

, 2013
In this work, two methods based on statistical models that take into account the temporal changes in the electroencephalographic (EEG) signal are proposed for asynchronous brain-computer interfaces (BCI) based on imaginary motor tasks. Unlike the current
Çetin, Müjdat, Delgado Saa, Jaime Fernando   +1 more
core   +1 more source

Application of BCI in Muscle Regeneration Tissue [PDF]

BIO Web of Conferences
The application of brain-computer interface (BCI) technology in the medical field continues to expand, and the research on muscle regeneration tissue has gradually attracted attention.
Cao Yaoxian, Zhou Shengkai, Zhao Yunbo
doaj   +1 more source

Brain-Computer Interface (BCI) literature - a bibliometric study [PDF]

10th International Conference on Information Science, Signal Processing and their Applications (ISSPA 2010), 2010
Brain-Computer Interface (BCI) is a relatively young research field which has seen a growing interest with associated number of publications over the last two decades. In this study we present the first bibliometric analysis of the BCI literature (1990–2008) from the Thomson Reuters's Institute for Scientific Information (ISI) Web of Knowledge.
openaire   +3 more sources

The Strathclyde Brain Computer Interface (S-BCI) : the road to clinical translation [PDF]

, 2011
In this paper, we summarise the state of development of the Strathclyde Brain Computer Interface (S-BCI) and what has been so far achieved. We also briefly discuss our next steps for translation to spinal cord injured patients and the challenges we ...
Lakany, Heba, Conway, Bernard A, Allan, David B.   +2 more
core   +4 more sources

Detection of intention level in response to task difficulty from EEG signals [PDF]

, 2013
We present an approach that enables detecting intention levels of subjects in response to task difficulty utilizing an electroencephalogram (EEG) based brain-computer interface (BCI).
Elif Hocaoglu, Çetin, Müjdat, Volkan Patoglu, Patoğlu, Volkan, Mujdat Cetin, Koyaş, Ela, Hocaoğlu, Elif, Eia Koyas   +7 more
core   +1 more source

Adaptive personalisation for researcher-independent brain body interface usage [PDF]

, 2009
In this case study, we report what we believe to be the first prolonged in-situ use of a brain-body interface for rehabilitation of individuals with severe neurological impairment due to traumatic brain injury with no development researchers present.
Gnanayutham, Paul, Cockton, Gilbert, Paul Gnanayutham, Cockton, G., Gilbert Cockton   +4 more
core   +1 more source

Extracting optimal tempo-spatial features using local discriminant bases and common spatial patterns for brain computer interfacing [PDF]

, 2013
Brain computer interfaces (BCI) provide a new approach to human computer communication, where the control is realised via performing mental tasks such as motor imagery (MI).
Gan, John Q, Asensio-Cubero, Javier, Gan, John Q., Palaniappan, Ramaswamy   +3 more
core   +1 more source

Review of Progress of Optical Brain-Computer Interface Technology and Prospects for Medical Device Testing Technology

Zhongguo yiliao qixie zazhi
Optical brain-computer interface (OBCI) technology is a new cross-cutting frontier technology that achieves information interaction between the human brain and external devices through neuroengineering based on optical methods. Among them, brain-computer
Yiqiao WANG, Yunping MI, Xinyan ZHANG, Bin ZHAO, Hao LI, Xun LIU   +5 more
doaj   +1 more source

Rehabilitation Treatment of Motor Dysfunction Patients Based on Deep Learning Brain–Computer Interface Technology

Frontiers in Neuroscience, 2020
In recent years, brain–computer interface (BCI) is expected to solve the physiological and psychological needs of patients with motor dysfunction with great individual differences. However, the classification method based on feature extraction requires a
Huihai Wang, Qinglun Su, Zhenzhuang Yan, Fei Lu, Qin Zhao, Zhen Liu, Fang Zhou   +6 more
doaj   +1 more source