Results 51 to 60 of about 17,170 (155)

Recent Advances in Hybrid Brain-Computer Interface Systems: A Technological and Quantitative Review

open access: yesBasic and Clinical Neuroscience, 2018
Brain-Computer Interface (BCI) is a system that enables users to transmit commands to the computer using their brain activity recorded by electroencephalography.
Sahar Sadeghi, Ali Maleki
doaj  

NCyborg Project – A new stroke rehabilitation pattern based on brain computer interface

open access: yesBrain Hemorrhages, 2021
NCyborg Project, a new stroke rehabilitation pattern based on brain computer interface (BCI) and brain-inspired intelligent robots, is set up by Tongji Hospital and BrainCo. We will briefly introduce this project in this paper.
Qi Huang   +8 more
doaj   +1 more source

Facial expression recognition for emotion perception: A comprehensive science mapping

open access: yesIbrain, EarlyView.
Facial expression recognition (FER) has emerged as a pivotal interdisciplinary research domain, bridging computer science, psychology, neuroscience, and medicine. By mapping the FER scientific knowledge graph, the study aimed to explore the technological evolution and forecast future application trends in this field.
Hou‐Ming Kan   +10 more
wiley   +1 more source

Analysis of Performance Metrics Using Emotiv EPOC+

open access: yesMATEC Web of Conferences, 2018
Brain-computer interface (BCI) is a device that enables the connection between the human brain and a computer, therefore, it allows us to observe the brain activity.
Strmiska Martin, Koudelkova Zuzana
doaj   +1 more source

Conductive Hydrogel‐Enabled Electrode for Scalp Electroencephalography Monitoring

open access: yesSmall Methods, EarlyView.
Conductive hydrogels are emerging as effective EEG electrode‐scalp interfaces to overcome hair barriers. This review presents the demanding parameters for hair‐compatible hydrogel electrodes and summarizes their applications in healthcare and brain‐computer interfaces.
Zichong Ji   +14 more
wiley   +1 more source

Characterization of Event Related Desynchronization in Chronic Stroke Using Motor Imagery Based Brain Computer Interface for Upper Limb Rehabilitation

open access: yesAnnals of Indian Academy of Neurology
Objective: Motor imagery-based brain–computer interface (MI-BCI) is a promising novel mode of stroke rehabilitation. The current study aims to investigate the feasibility of MI-BCI in upper limb rehabilitation of chronic stroke survivors and also to ...
Sagila K Gangadharan   +5 more
doaj   +1 more source

Application of Motor Imagery Brain-Computer Interface in Rehabilitation of Neurological Diseases

open access: yes康复学报, 2023
Brain-computer interface (BCI) technology is an innovative human-computer interaction technology that does not rely on the peripheral nerve transmission pathway and muscle tissues, and establishes the connection between the human brain and the external ...
YANG Banghua
doaj  

Motor Imagery Classification Using Rough Neural Network

open access: yesRatio Mathematica, 2022
Brain Computer Interface is a system which provides a communication channel between the user and a computer without using the normal neuromuscular pathways. With BCI a user will be able to communicate with the mind.
J Anila Maily   +2 more
doaj   +1 more source

Image and video analysis using graph neural network for Internet of Medical Things and computer vision applications

open access: yesCAAI Transactions on Intelligence Technology, EarlyView.
Abstract Graph neural networks (GNNs) have revolutionised the processing of information by facilitating the transmission of messages between graph nodes. Graph neural networks operate on graph‐structured data, which makes them suitable for a wide variety of computer vision problems, such as link prediction, node classification, and graph classification.
Amit Sharma   +4 more
wiley   +1 more source

Design and Application of Digital Twin-Based Brain Control System

open access: yesJournal of Advanced Transportation
Despite the development and application of brain-computer interface (BCI) across various fields, this technology continues to face numerous challenges. The limitations in hardware and algorithm performance result in low recognition rates of BCI commands,
Yinan Wang   +4 more
doaj   +1 more source

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