A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
Filters
Brain plasticity and rehabilitation by using Near-Infrared Spectroscopy
2016
Neuropsychological Trends
Preserved Fulltext
The present review elucidated the use of optical imaging technique (Near-Infrared Spectroscopy, NIRS) to better explain the brain plasticity for learning mechanisms, rehabilitation and post-traumatic brain ...
Some recent applications were discussed, with specific focus on the usability of integrated measures (such as electroencephalography, EEG-NIRS; Transcranial Magnet Stimulation, TMS-NIRS) to study plasticity ...
While in both BCI and NF the participant's brain signals are directly displayed to the participant in real-time, these applications differ conceptually. ...
doi:10.7358/neur-2016-019-balc
fatcat:bupuwymiirge7jpsfiw7obijlq
Enrichment of Human-Computer Interaction in Brain-Computer Interfaces via Virtual Environments
2017
Computational Intelligence and Neuroscience
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
Tridimensional representations stimulate cognitive processes that are the core and foundation of human-computer interaction (HCI). ...
BCI is as a nonmuscular communication channel that attempts to reestablish the interaction between an individual and his/her environment. ...
perceptual learning. ...
doi:10.1155/2017/6076913
pmid:29317861
pmcid:PMC5727652
fatcat:v5b5kasvmff7nhlm33jr4rojsy
Hybrid fNIRS-EEG based classification of auditory and visual perception processes
2014
Frontiers in Neuroscience
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
For multimodal Human-Computer Interaction (HCI), it is very useful to identify the modalities on which the user is currently processing information. ...
In this paper, we develop a hybrid Brain-Computer Interface (BCI) which uses Electroencephalography (EEG) and functional Near Infrared Spectroscopy (fNIRS) to discriminate and detect visual and auditory ...
We acknowledge support by Deutsche Forschungsgemeinschaft and Open Access Publishing Fund of Karlsruhe Institute of Technology. ...
doi:10.3389/fnins.2014.00373
pmid:25477777
pmcid:PMC4235375
fatcat:iey6uss7njaaheeb3bkv4xiqne
In the Spotlight: Neuroengineering
2010
IEEE Reviews in Biomedical Engineering
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
The "hot" areas, at least as measured by popularity and visibility, continue to be the fields of brain-computer interface (BCI) or brain-machine interface (BMI), the application of BMI to neural prosthesis ...
Bayesian reconstruction of perceptual experiences from human brain activity." ...
Bayesian reconstruction of perceptual experiences from human brain activity." ...
doi:10.1109/rbme.2010.2086872
pmid:22275198
fatcat:5ltrbciegjfhdjiup56ydln5k4
In the spotlight: Neuroengineering
2008
IEEE Reviews in Biomedical Engineering
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
The "hot" areas, at least as measured by popularity and visibility, continue to be the fields of brain-computer interface (BCI) or brain-machine interface (BMI), the application of BMI to neural prosthesis ...
Bayesian reconstruction of perceptual experiences from human brain activity." ...
Bayesian reconstruction of perceptual experiences from human brain activity." ...
doi:10.1109/rbme.2008.2008231
pmid:22274896
fatcat:7wwhsnlqefbjrmo2ylzd5lgyy4
In the Spotlight: Neuroengineering
2013
IEEE Reviews in Biomedical Engineering
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
The "hot" areas, at least as measured by popularity and visibility, continue to be the fields of brain-computer interface (BCI) or brain-machine interface (BMI), the application of BMI to neural prosthesis ...
Bayesian reconstruction of perceptual experiences from human brain activity." ...
Bayesian reconstruction of perceptual experiences from human brain activity." ...
doi:10.1109/rbme.2012.2228515
pmid:23193468
fatcat:6neq4ti3ojg67ehsm65inwivrm
In the Spotlight: Neuroengineering
2011
IEEE Reviews in Biomedical Engineering
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
The "hot" areas, at least as measured by popularity and visibility, continue to be the fields of brain-computer interface (BCI) or brain-machine interface (BMI), the application of BMI to neural prosthesis ...
Bayesian reconstruction of perceptual experiences from human brain activity." ...
Bayesian reconstruction of perceptual experiences from human brain activity." ...
doi:10.1109/rbme.2011.2174126
pmid:22273788
fatcat:4qm7anyui5fplneghuywqmx4f4
In the spotlight: neuroengineering
2009
IEEE Reviews in Biomedical Engineering
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
The "hot" areas, at least as measured by popularity and visibility, continue to be the fields of brain-computer interface (BCI) or brain-machine interface (BMI), the application of BMI to neural prosthesis ...
Bayesian reconstruction of perceptual experiences from human brain activity." ...
Bayesian reconstruction of perceptual experiences from human brain activity." ...
doi:10.1109/rbme.2009.2034697
pmid:22275040
fatcat:75nuepikmbgdrosuzqxn3iuqqm
Neuroergonomics for Aviation
[chapter]
2019
Neuroergonomics
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
The neuroergonomic approach maintains that an understanding of neural processes underlying human behavior can best be understood by investigating the underlying interacting brain networks in the context ...
Neuroergonomics is the study of how the brain functions in real-world situations with the goal of developing technology to enhance human performance. ...
The ability to utilize BCI technology practically in neuroergonomic applications requires that it does not interfere with the normal operation of the task at hand, does not increase workload, and improves ...
doi:10.1016/b978-0-12-811926-6.00009-9
fatcat:g3hnrdtogjgyxn5t7dy4cfegqm
Automated Task Load Detection with Electroencephalography: Towards Passive Brain–Computer Interfacing in Robotic Surgery
2017
Journal of Medical Robotics Research
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2018; you can also visit the original URL.
The file type is application/pdf.
Automatic detection of the current task load of a surgeon in the theatre in real time could provide helpful information, to be used in supportive systems. ...
In this study, a passive brain-computer interface was used to assess changes in task load of skilled surgeons performing both simple and complex surgical training tasks. ...
A final, highly interesting step would be to investigate the application of other developments from the field of human-computer interaction and passive BCI to robotic surgery, in particular, passive BCI-based ...
doi:10.1142/s2424905x17500039
fatcat:3zonsoxy6zhv5j5x2uqdm6w3ri
Progress in Brain Computer Interface: Challenges and Opportunities
2021
Frontiers in Systems Neuroscience
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
This review summarizes state-of-the-art progress in the BCI field over the last decades and highlights critical challenges. ...
They offer an extended degree of freedom either by strengthening or by substituting human peripheral working capacity and have potential applications in various fields such as rehabilitation, affective ...
Recent studies have demonstrated decoding of FIGURE 2 | A schematic illustration of the evolution of the brain computer interface (BCI) applications: Cognitive & Perceptual Learning/Rehabilitation (McMillan ...
doi:10.3389/fnsys.2021.578875
pmid:33716680
pmcid:PMC7947348
fatcat:326rfleaxnednmhjowg6dnce2u
Controlling Assistive Machines in Paralysis Using Brain Waves and Other Biosignals
2013
Advances in Human-Computer Interaction
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
Here, we give an overview of the current state of assistive, noninvasive BMI research and propose to integrate brain waves and other biosignals for improved control and applicability of assistive machines ...
The extent to which humans can interact with machines significantly enhanced through inclusion of speech, gestures, and eye movements. ...
Education and Research (BMBF, 01GQ0831, and 16SV5840), and the Deutsche Forschungsgemeinschaft (DFG SO932-2), Open Access Publishing Fund of the University of Tübingen, as well as CNPq/DAAD (National ...
doi:10.1155/2013/369425
fatcat:bhylflw4gvh3vo4vnou7fvyd6i
A Vision of 6G Wireless Systems: Applications, Trends, Technologies, and Open Research Problems
[article]
2019
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
Note that this fulltext copy is not of the "primary" version of this work. The version it corresponds to is:
2019 pre-print arXiv:1902.10265v1 fatcat:lsfsfvgjhzg7dhqmwqfxzqflf4
In this regard, we first identify the primary drivers of 6G systems, in terms of applications and accompanying technological trends. ...
The ongoing deployment of 5G cellular systems is continuously exposing the inherent limitations of this system, compared to its original premise as an enabler for Internet of Everything applications. ...
. • Exploration of THz bands (above 140 GHz). • Non-RF (e.g., optical, VLC, etc.). ...
arXiv:1902.10265v2
fatcat:lexwo4epevdenoojeax2sang2e
An analysis framework for Near InfraRed Spectroscopy based brain-computer interface and prospective application to robotic surgery
2009
2009 IEEE/RSJ International Conference on Intelligent Robots and Systems
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
Motivated by the need of augmenting the surgeon mastery, we explore the capabilities of a near infrared brain-computer interface as a complementary input modality to enhance the human-robot interaction ...
As medical robotics gathers increasing attention, the ergonomics of the surgical-console design becomes an important issue. ...
Thus far, the predominant clinical application of BCI is in the control of prosthetic limbs [12] . ...
doi:10.1109/iros.2009.5354472
dblp:conf/iros/CaproniOJMDDY09
fatcat:j5wygsg765g2rdrdmj43jgvqku
State Dependency: Audiovisual interaction through brain states
2019
Proceedings of the SMC Conferences
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
We deployed a BCI to collect motor imagery, visual and cognitive neural activity to calculate approximate entropy (a second order measure of neural signal activity) which was in turn used to interact with ...
Artistic installations using brain-computer interfaces (BCI) to interact with media in general, and sound in specific, have become increasingly numerous in the last years. ...
Acknowledgments The Immersive Lab is a long term project at the Zurich University of the Arts. The current project cycle is funded by the Swiss National Science Foundation, AGORA Grant Nr. ...
doi:10.5281/zenodo.3737940
fatcat:yod3ciu4xzfopdo2pgw2wefk3q
« Previous
Showing results 1 — 15 out of 294 results