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Brain-Computer Interface: comparison of two control modes to drive a virtual robot [PDF]
, 2015 A Brain-Computer Interface (BCI) is a system that enables communication and control that is not based on muscular movements, but on brain activity. Some of these systems are based on discrimination of different mental tasks; usually they match the number
André, Jean Marc +4 more
core +5 more sources
Dual-Mode Visual System for Brain-Computer Interfaces: Integrating SSVEP and P300 Responses. [PDF]
Sensors (Basel)In brain–computer interface (BCI) systems, steady-state visual-evoked potentials (SSVEP) and P300 responses have achieved widespread implementation owing to their superior information transfer rates (ITR) and minimal training requirements. These neurophysiological signals have exhibited robust efficacy and versatility in external device control ...
Kasawala E, Mouli S.
europepmc +5 more sources
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 +4 more
doaj +7 more sources
A model for the control mode man-computer interface dialogue [PDF]
, 1981 A four stage model is presented for the control mode man-computer interface dialogue. It consists of context development, semantic development syntactic development, and command execution.
Chafin, R. L.
core +2 more sources
A Wireless Bi-Directional Brain–Computer Interface Supporting Both Bluetooth and Wi-Fi Transmission [PDF]
MicromachinesWireless neural signal transmission is essential for both neuroscience research and neural disorder therapies. However, conventional wireless systems are often constrained by low sampling rates, limited channel counts, and their support of only a single ...
Wei Ji +12 more
doaj +2 more sources
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 +4 more
doaj +1 more source
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 +3 more
doaj +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
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 +7 more
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