Cloud detection is an important and difficult task in the pre-processing of satellite remote
sensing data. The results of traditional cloud detection methods are often unsatisfactory in …

Muscle fatigue detection based on surface Electromyography (sEMG) is one of the essential
goals of human–computer interaction. The main challenge is that the sEMG signal is …

Building machine learning models using EEG recorded outside of the laboratory setting
requires methods robust to noisy data and randomly missing channels. This need is …

Objective. Motor brain-computer interfaces (BCIs) are a promising technology that may
enable motor-impaired people to interact with their environment. BCIs would potentially …

Unsignalized intersection collision has been one of the most dangerous accidents in the
world. How to identify road hazards and predict the potential intersection collision ahead are …

This paper uses EEG data to introduce an approach for classifying right and left-hand
classes in Motor Imagery (MI) tasks. The Kernel Cross-Spectral Functional Connectivity …

Brain–computer interfaces (BCIs) from electroencephalography (EEG) provide a practical
approach to support human–technology interaction. In particular, motor imagery (MI) is a …

Brain-Computer Interfaces (BCIs) based on Electroencephalography (EEG) have gained
significant attention as a practical approach for human-technology interaction. Motor …

Las Interfaces Cerebro Computadora (BCI) basadas en Electroencefalografía (EEG) crean
una conexión directa entre el cerebro humano y una computadora. Los paradigmas de …

Résumé Cette thèse présente trois contributions pour améliorer la reconnaissance
d'imaginations motrices utilisées par de nombreuses interfaces cerveau-ordinateur (BCI) …