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 comprehensive review of endogenous EEG-based BCIs for dynamic device control
Electroencephalogram (EEG)-based brain–computer interfaces (BCIs) provide a novel
approach for controlling external devices. BCI technologies can be important enabling …
approach for controlling external devices. BCI technologies can be important enabling …
A temporal–spatial deep learning approach for driver distraction detection based on EEG signals
Distracted driving has been recognized as a major challenge to traffic safety improvement.
This article presents a novel driving distraction detection method that is based on a new …
This article presents a novel driving distraction detection method that is based on a new …
Trajectory prediction of cyclist based on dynamic Bayesian network and long short-term memory model at unsignalized intersections
Cyclist trajectory prediction is of great significance for both active collision avoidance and
path planning of intelligent vehicles. This paper presents a trajectory prediction method for …
path planning of intelligent vehicles. This paper presents a trajectory prediction method for …
Brain-computer interface (BCI) systems based on spontaneous electroencephalography
(EEG) hold the promise to implement human voluntary control of lower-extremity powered …
(EEG) hold the promise to implement human voluntary control of lower-extremity powered …