Results 71 to 80 of about 76,961 (216)

MGFKD: A semi-supervised multi-source domain adaptation algorithm for cross-subject EEG emotion recognition

open access: yesBrain Research Bulletin
Currently, most models rarely consider the negative transfer problem in the research field of cross-subject EEG emotion recognition. To solve this problem, this paper proposes a semi-supervised domain adaptive algorithm based on few labeled samples of ...
Rui Zhang   +5 more
doaj   +1 more source

COP-based Feature Extraction and Analysis of Plantar Pressure in Tai Chi Stake [PDF]

open access: yesZhengzhou Daxue xuebao. Gongxue ban
To explore the inherent characteristics of Tai Chi Stake training and digitally interpret its movement essentials, an effective plantar pressure detection equipment was used to collect plantar pressure signals from participants, and the relative ...
WAN Hong, GU Zhiyuan, LI Mengmeng
doaj   +1 more source

Sensory Integration in Human Movement: A New Brain-Machine Interface Based on Gamma Band and Attention Level for Controlling a Lower-Limb Exoskeleton

open access: yesFrontiers in Bioengineering and Biotechnology, 2020
Brain-machine interfaces (BMIs) can improve the control of assistance mobility devices making its use more intuitive and natural. In the case of an exoskeleton, they can also help rehabilitation therapies due to the reinforcement of neuro-plasticity ...
Mario Ortiz   +5 more
doaj   +1 more source

The brain and computer: The neurosurgical interface

open access: yesSurgical Neurology International, 2011
Neurosurgery has always had a strong interest in innovating new technologies to improve neurological function and quality of life. Now, novel interventions that modulate central nervous system activity at the nanoparticle, molecular, genetic, cellular, and network level all seem to be on the horizon.
openaire   +3 more sources

Brain-Computer Interface Systems [PDF]

open access: yes, 2013
Brain-Computer Interface (BCI) systems allow communication based on a direct electronic interface which conveys messages and commands directly from the human brain to a computer.

core   +1 more source

Boosters of the metaverse: a review of augmented reality-based brain-computer interface

open access: yesBrain-Apparatus Communication
Introduction The ultimate objective of the metaverse is to create a new digital life system using brain-computer interface (BCI) technology that integrates and even enhances reality and virtuality, among which the efficient and natural interaction ...
Zongxin Xu, Gaoxing Chen, Rui Zhang
doaj   +1 more source

BCIs and mobile robots for neurological rehabilitation: practical applications of remote control. Remote control of mobile robots applied in non-invasive BCI for disabled users afflicted by motor neurons diseases [PDF]

open access: yes, 2011
This project aims at testing the possible advantages of introducing a mobile robot as a physical input/output device in a Brain Computer Interface (BCI) system.
Criveller, Luigi
core  

Extracting optimal tempo-spatial features using local discriminant bases and common spatial patterns for brain computer interfacing [PDF]

open access: yes, 2013
Brain computer interfaces (BCI) provide a new approach to human computer communication, where the control is realised via performing mental tasks such as motor imagery (MI).
Gan, John Q   +3 more
core   +1 more source

Expert Consensus on Neuromodulation Application of Transcranial Focused Ultrasound in Pain Management

open access: yes康复学报
Transcranial focused ultrasound (tFUS) is an emerging non-invasive neuromodulation technology that utilizes highly focused acoustic waves to achieve precise, reversible, and non-invasive regulation of specific brain regions.
Brain Computer Interface and Rehabilitation Committee of Chinese Rehabilitation Medical Association
doaj  

Spelling with brain-computer interface - current trends and prospects [PDF]

open access: yes, 2010
International audienceBrain-Computer Interfaces (BCIs) have become a large research field that include challenges mainly in neuroscience, signal processing, machine learning and user interface.
Cecotti, Hubert
core  

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