Biosignal-based human–machine interfaces for assistance and rehabilitation: A survey
As a definition, Human–Machine Interface (HMI) enables a person to interact with a device.
Starting from elementary equipment, the recent development of novel techniques and …
Starting from elementary equipment, the recent development of novel techniques and …
A sensor-based perspective in early-stage parkinson's disease: Current state and the need for machine learning processes
Parkinson's disease (PD) is a progressive neurodegenerative disorder associated with
dysfunction of dopaminergic neurons in the brain, lack of dopamine and the formation of …
dysfunction of dopaminergic neurons in the brain, lack of dopamine and the formation of …
Multimodal signal dataset for 11 intuitive movement tasks from single upper extremity during multiple recording sessions
Background Non-invasive brain–computer interfaces (BCIs) have been developed for
realizing natural bi-directional interaction between users and external robotic systems …
realizing natural bi-directional interaction between users and external robotic systems …
Integrating Wearable Sensors and Machine Learning for the Detection of Critical Events in Industry Workers
G Mantellos, TP Exarchos, GN Dimitrakopoulos… - Worldwide Congress on …, 2022 - Springer
The event where an industry worker experiences some sort of critical health problems on
site, due to factors not strictly related to the job, poses a serious concern and is an issue of …
site, due to factors not strictly related to the job, poses a serious concern and is an issue of …
Unraveling Imaginary and Real Motion: A Correlation Indices Study in BCI Data
The efficient translation of brain signals into an output device is an essential characteristic to
establish a Brain-computer Interface (BCI) link. This research investigates the applicability of …
establish a Brain-computer Interface (BCI) link. This research investigates the applicability of …
Stimulus Effects on Subject-Specific BCI Classification Training Using Motor Imagery
ST Miloulis, I Kakkos, A Karampasi… - … Conference on e …, 2021 - ieeexplore.ieee.org
Motor-related Brain Computer Interfaces (BCIs) comprise a valuable tool towards the
development of support systems targeting impaired individuals. Due to limited motion …
development of support systems targeting impaired individuals. Due to limited motion …
Brain Signals to Actions Using Machine Learning
This research presents a machine learning model that predicts left, right, or no action using
electroencephalography (EEG) signals extracted from two different wearable EEG headsets …
electroencephalography (EEG) signals extracted from two different wearable EEG headsets …