A comprehensive review on critical issues and possible solutions of motor imagery based electroencephalography brain-computer interface
Motor imagery (MI) based brain–computer interface (BCI) aims to provide a means of
communication through the utilization of neural activity generated due to kinesthetic …
communication through the utilization of neural activity generated due to kinesthetic …
[HTML][HTML] Evaluation of machine learning algorithms for classification of EEG signals
In brain–computer interfaces (BCIs), it is crucial to process brain signals to improve the
accuracy of the classification of motor movements. Machine learning (ML) algorithms such …
accuracy of the classification of motor movements. Machine learning (ML) algorithms such …
Classification of motor imagery based on multi-scale feature extraction and the channeltemporal attention module
Motor imagery (MI) is a popular paradigm for controlling electroencephalogram (EEG) based
Brain-Computer Interface (BCI) systems. Many methods have been developed to attempt to …
Brain-Computer Interface (BCI) systems. Many methods have been developed to attempt to …
[HTML][HTML] 脑机接口中运动想象的执行与能力的评估和提高方法
贵鑫田， 俊杰陈， 鹏丁， 安民龚， 帆王… - Sheng Wu Yi Xue …, 2021 - ncbi.nlm.nih.gov
运动想象（ MI） 是驱动脑机接口（ BCI） 的一种重要范式， 但MI 心理活动不易控制或习得， MI-
BCI 的性能严重依赖被试MI 的表现。 因此MI 心理活动的正确执行以及能力的评估和提高对MI …
BCI 的性能严重依赖被试MI 的表现。 因此MI 心理活动的正确执行以及能力的评估和提高对MI …
Use of mobile EEG in decoding hand movement speed and position
N Robinson, TWJ Chester… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
With the majority of brain–computer interface (BCI) research currently restricted to the
controlled settings in labs, there is a growing interest to study the feasibility of BCI …
controlled settings in labs, there is a growing interest to study the feasibility of BCI …
Pseudo-online framework for BCI evaluation: a MOABB perspective using various MI and SSVEP datasets
I Carrara, T Papadopoulo - Journal of Neural Engineering, 2024 - iopscience.iop.org
Objective. BCI (Brain–Computer Interfaces) operate in three modes: online, offline, and
pseudo-online. In online mode, real-time EEG data is constantly analyzed. In offline mode …
pseudo-online. In online mode, real-time EEG data is constantly analyzed. In offline mode …
Socio-economic implications of the digital revolution
D Helbing, CI Hausladen - Routledge International Handbook of …, 2024 - taylorfrancis.com
The digital revolution is reinventing business models, reshaping economic sectors, and
changing entire societal institutions. Big Data and Artificial Intelligence, profiling and …
changing entire societal institutions. Big Data and Artificial Intelligence, profiling and …
On the use of the emotiv cortex api to control a robotic arm using raw eeg signals acquired from the emotiv insight neuroheadset
IN Zamora, DS Benítez… - 2019 IEEE CHILEAN …, 2019 - ieeexplore.ieee.org
This paper explores the feasibility of using the Emotiv Cortex Application Programming
Interface (API) service to obtain raw sensor signals from the Emotiv Insight NeuroHeadset for …
Interface (API) service to obtain raw sensor signals from the Emotiv Insight NeuroHeadset for …
Execution, assessment and improvement methods of motor imagery for brain-computer interface
G Tian, J Chen, P Ding, A Gong, F Wang… - Sheng wu yi xue …, 2021 - europepmc.org
运动想象 (MI) 是驱动脑机接口 (BCI) 的一种重要范式, 但 MI 心理活动不易控制或习得, MI-BCI
的性能严重依赖被试 MI 的表现. 因此 MI 心理活动的正确执行以及能力的评估和提高对 MI-BCI …
的性能严重依赖被试 MI 的表现. 因此 MI 心理活动的正确执行以及能力的评估和提高对 MI-BCI …
Inverse kinematic based brain computer interface to control humanoid robotic arm
A Al-Hamadani, MZ Al-Faiz - International Journal of Mechanical & …, 2020 - papers.ssrn.com
Abstract New Inverse Kinematic based Brain Computer Interface (IK-BCI) system was
proposed. the system performs aim selection intended by user through acquiring user's EEG …
proposed. the system performs aim selection intended by user through acquiring user's EEG …