GKP signal processing using deep CNN and SVM for tongue-machine interface
The tongue is one of the few organs with high mobility in the case of severe spinal cord
injuries. However, most tongue-machine interfaces (TMIs) require the patient to wear …
injuries. However, most tongue-machine interfaces (TMIs) require the patient to wear …
Glossokinetic potential based tongue–machine interface for 1-D extraction using neural networks
Tongue machine interface (TMI) is a tongue-operated assistive technology enabling people
with severe disabilities to control their environments using their tongue motion. In many …
with severe disabilities to control their environments using their tongue motion. In many …
Tongue-operated biosignal over EEG and processing with decision tree and kNN
Tongue-machine interface (TMI) is a feasible way between the assistive technologies and
paralyzed individuals who have lost their abilities to communicate with the environment …
paralyzed individuals who have lost their abilities to communicate with the environment …
Assistive smart home environment using head gestures and EEG eye blink control schemes
Field of Assistive Smart Homes has emerged with the aim of enabling the physically
challenged, the elderly or those with constraint motion and to restore their capability of …
challenged, the elderly or those with constraint motion and to restore their capability of …
[HTML][HTML] Python executable script for estimating two effective parameters to individualize brain-computer interfaces: Individual alpha frequency and neurophysiological …
LM Alonso-Valerdi - Frontiers in neuroinformatics, 2016 - frontiersin.org
A brain-computer interface (BCI) aims to establish communication between the human brain
and a computing system so as to enable the interaction between an individual and his …
and a computing system so as to enable the interaction between an individual and his …
Hybrid BCI utilising SSVEP and P300 event markers for reliable and improved classification using LED stimuli
S Mouli, R Palaniappan - 2017 IEEE Symposium on Computer …, 2017 - ieeexplore.ieee.org
This paper investigates the possibilities of developing a hybrid brain-computer interface
based on Steady State Visual Evoked Potential (SSVEP) and P300 responses. SSVEP …
based on Steady State Visual Evoked Potential (SSVEP) and P300 responses. SSVEP …
[图书][B] Advances in Smart Healthcare Paradigms and Applications: Outstanding Women in Healthcare—Volume 1
This book is dedicated to showcase research and innovation in smart healthcare systems
and technologies led by women scientists, researchers, and practitioners. With the advent of …
and technologies led by women scientists, researchers, and practitioners. With the advent of …
Recent Applications of BCIs in Healthcare
IN Angulo-Sherman, R Salazar-Varas - Advances in Smart Healthcare …, 2023 - Springer
Brain-computer interfaces (BCIs) are systems that help translate brain activity, which is
typically measured using electroencephalography (EEG), into commands for controlling a …
typically measured using electroencephalography (EEG), into commands for controlling a …
BCI applied to neurorehabilitation
IN Angulo-Sherman, A Costa-García… - Emerging Therapies in …, 2016 - Springer
Brain-computer interface (BCI) systems are novel and emerging technologies that allow a
person to interact with the environment without any muscular activity using only his or her …
person to interact with the environment without any muscular activity using only his or her …
[HTML][HTML] User experience may be producing greater heart rate variability than motor imagery related control tasks during the user-system adaptation in brain-computer …
LM Alonso-Valerdi, DA Gutiérrez-Begovich… - Frontiers in …, 2016 - frontiersin.org
Brain-computer interface (BCI) is technology that is developing fast, but it remains
inaccurate, unreliable and slow due to the difficulty to obtain precise information from the …
inaccurate, unreliable and slow due to the difficulty to obtain precise information from the …