FNIRS pre-processing and processing methodologies are very important—how a researcher
chooses to process their data can change the outcome of an experiment. The purpose of this …

Detection of exact emotions through multi-modal physiological signals provides relevant
information for different processes. Numerous computational approaches have been …

This paper proposes a novel feature selection method utilizing Rényi min-entropy-based
algorithm for achieving a highly efficient brain–computer interface (BCI). Usually, wavelet …

Due to the complexity of the resistance spot welding process, it is still a challenge to
accurately know the operating status of the welding robot under the current parameter …

Reconstructing vehicle trajectories is an essential step in obtaining high-precision vehicle
trajectory data owing to observation errors. Although considerable efforts have been made …

Rapid determination of moisture content plays an important role in guiding the recycling,
treatment and disposal of solid waste, as the moisture content of solid waste directly affects …

Abstract Multiclass functional Near-Infrared Spectroscopy (fNIRS) signal classification has
become a convenient way for optical brain-computer interface. fNIRS signal classification …

Vehicle trajectory reconstruction is an indispensable step before using the observed
trajectory data for analysis. A recurrent challenge of the existing smoothing/filtering-based …

Human cognitive load level assessment is a challenging issue in the field of functional brain
imaging. This work aims to study different cognitive load levels statistically from brain …

Practical brain–computer interface (BCI) demands the learning-based adaptive model that
can handle diverse problems. To implement a BCI, usually functional near-infrared …