Results 11 to 20 of about 6,266,309 (293)

An empirical mode decomposition based filtering method for classification of motor-imagery EEG signals for enhancing brain-computer interface

IEEE International Joint Conference on Neural Network, 2015
Ram Bilas Pachori, Pramod Gaur
exaly   +2 more sources

A hybrid brain-computer interface using motor imagery and SSVEP Based on convolutional neural network

Brain-Apparatus Communication, 2023
The key to electroencephalography (EEG)-based brain-computer interface (BCI) lies in neural decoding, and its accuracy can be improved by using hybrid BCI paradigms, that is, fusing multiple paradigms.
Wenwei Luo, Wanguang Yin, Quanying Liu, Youzhi Qu   +3 more
doaj   +1 more source

A robotic arm control system with simultaneous and sequential modes combining eye-tracking with steady-state visual evoked potential in virtual reality environment

Frontiers in Neurorobotics, 2023
At present, single-modal brain-computer interface (BCI) still has limitations in practical application, such as low flexibility, poor autonomy, and easy fatigue for subjects. This study developed an asynchronous robotic arm control system based on steady-
Rongxiao Guo, Yanfei Lin, Xi Luo, Xiaorong Gao, Shangen Zhang   +4 more
doaj   +1 more source

Non-invasive brain-to-brain interface (BBI): establishing functional links between two brains. [PDF]

PLoS ONE, 2013
Transcranial focused ultrasound (FUS) is capable of modulating the neural activity of specific brain regions, with a potential role as a non-invasive computer-to-brain interface (CBI).
Seung-Schik Yoo, Hyungmin Kim, Emmanuel Filandrianos, Seyed Javid Taghados, Shinsuk Park   +4 more
doaj   +1 more source

Studies to Overcome Brain–Computer Interface Challenges

Applied Sciences, 2022
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
Woo-sung Choi, H. Yeom
semanticscholar   +1 more source

Interaction Design of Educational App Based on Collaborative Filtering Recommendation

Advances in Meteorology, 2022
With the advent of the 5G digital era, cell phones are becoming ubiquitous in all aspects of our lives, and the increasing demand for remote interaction makes the app interaction experience an indispensable part of our lives.
Ying Xu, Tse-Kian Neo, Hin Hew Soon
doaj   +1 more source

Separable Online System of Dike Monitoring Based on a Parallel-Serial Mode of Signal Measurement

IEEE Access, 2020
In the traditional system of dike monitoring, the acquisition apparatus is usually adopted with lots of built-in multiple data acquisition units. Each sensor is connected to the acquisition unit by wire, leading to the intensive use of wires. As a result,
Xizhong Shen, Ling Li, Yingjun Wang
doaj   +1 more source

A thermodynamically consistent derivation of a frictional-damage cohesive-zone model with different mode i and mode II fracture energies [PDF]

, 2015
The present paper deals with the derivation of an interface model characterized by macroscopic fracture energies which are different in modes I and II, the macroscopic fracture energy being the total energy dissipated per unit of fracture area.
Serpieri, R, Sacco, E, Alfano, G, Alfano G., Serpieri R., Albarella M, Serpieri R, Alfano G, SACCO, ELIO, Sacco E   +9 more
core   +1 more source

A note on brain actuated spelling with the Berlin brain-computer interface [PDF]

, 2007
Brain-Computer Interfaces (BCIs) are systems capable of decoding neural activity in real time, thereby allowing a computer application to be directly controlled by the brain.
Krauledat, M., Matthias Krauledat, Blankertz, B., G. Dornhege, Benjamin Blankertz, Klaus-Robert Müller, B. Blankertz, M. Krauledat, Murray-Smith, Roderick, Müller, K-R., Dornhege, G., Guido Dornhege, Murray-Smith, R., Williamson, John, Williamson, J., Roderick Murray-Smith, Blankertz, Benjamin, John Williamson, Müller, K.-R.   +18 more
core   +2 more sources

Recent Development of Neural Microelectrodes with Dual-Mode Detection

Biosensors, 2022
Neurons communicate through complex chemical and electrophysiological signal patterns to develop a tight information network. A physiological or pathological event cannot be explained by signal communication mode.
Meng Xu, Yuewu Zhao, Guanghui Xu, Yuehu Zhang, Shengkai Sun, Yan Sun, Jine Wang, Renjun Pei   +7 more
doaj   +1 more source