Intelligent computing: the latest advances, challenges, and future

S Zhu, T Yu, T Xu, H Chen, S Dustdar, S Gigan… - Intelligent …, 2023 - spj.science.org
Computing is a critical driving force in the development of human civilization. In recent years,
we have witnessed the emergence of intelligent computing, a new computing paradigm that …

EEG-based BCIs on motor imagery paradigm using wearable technologies: a systematic review

A Saibene, M Caglioni, S Corchs, F Gasparini - Sensors, 2023 - mdpi.com
In recent decades, the automatic recognition and interpretation of brain waves acquired by
electroencephalographic (EEG) technologies have undergone remarkable growth, leading …

Research of intent recognition in rehabilitation robots: a systematic review

S Luo, Q Meng, S Li, H Yu - Disability and Rehabilitation: Assistive …, 2024 - Taylor & Francis
Purpose Rehabilitation robots with intent recognition are hel** people with dysfunction to
enjoy better lives. Many rehabilitation robots with intent recognition have been developed by …

A novel hybrid brain-computer interface combining motor imagery and intermodulation steady-state visual evoked potential

X Chi, C Wan, C Wang, Y Zhang… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
The hybrid brain-computer interface (hBCI) combining motor imagery (MI) and steady-state
visual evoked potential (SSVEP) has been proven to have better performance than a pure …

EEG hybrid brain-computer interfaces: A sco** review applying an existing hybrid-BCI taxonomy and considerations for pediatric applications

MG Mussi, KD Adams - Frontiers in Human Neuroscience, 2022 - frontiersin.org
Most hybrid brain-computer interfaces (hBCI) aim at improving the performance of single-
input BCI. Many combinations are possible to configure an hBCI, such as using multiple …

An Adaptive Hybrid Brain Computer Interface for Hand Function Rehabilitation of Stroke Patients

J Su, J Wang, W Wang, Y Wang… - … on Neural Systems …, 2024 - ieeexplore.ieee.org
Motor imagery (MI) based brain computer interface (BCI) has been extensively studied to
improve motor recovery for stroke patients by inducing neuroplasticity. However, due to the …

Humanode whitepaper: You are [not] a bot

D Kavazi, V Smirnov, S Shilina, MD Li… - arxiv preprint arxiv …, 2021 - arxiv.org
The advent of blockchain technology has led to a massive wave of different decentralized
ledger technology (DLT) solutions. Such projects as Bitcoin and Ethereum have shifted the …

A hybrid capsule attention-based convolutional bi-GRU method for multi-class mental task classification based brain-computer Interface

D Deepika, G Rekha - Computer Methods in Biomechanics and …, 2025 - Taylor & Francis
Electroencephalography analysis is critical for brain computer interface research. The
primary goal of brain–computer interface is to establish communication between impaired …

Canonical Correlation Analysis and Its Extension for SSVEP-based BCI Detection: A Systematic Review

MA Suhendra, I Robiyana, T Sumardi… - Jurnal Penelitian …, 2024 - jppipa.unram.ac.id
Abstract SSVEP-based Brain-Computer Interfaces (BCIs) utilize steady-state visual evoked
potentials, which are brain responses triggered by visual stimuli flickering at specific …

Introduction to brain–computer interface: research trends and applications

SM Qaisar, A Subasi - Artificial Intelligence Applications for Brain …, 2025 - Elsevier
A broader review of the artificial intelligence (AI) and sensing methods used in brain–
computer interfaces (BCIs) is given in this chapter. The brain and external equipment, such …