Differently-abled individuals always need support from others for their day-to-day activities.
Brain Computer Interface (BCI) has the potential to help those people in carrying out the …

A novel system regarding deterministic and interval predictions of pollutant concentration is
constructed in this study, which can not only obtain higher prediction accuracy in …

Wearable biosignal processing applications are driving significant progress toward
miniaturized, energy-efficient Internet-of-Things solutions for both clinical and consumer …

Brain computer interaction based on EEG presents great potential and becomes the
research hotspots. However, the insufficient scale of EEG database limits the BCI system …

Empirical mode decomposition (EMD) and its variants are adaptive algorithms that
decompose a time series into a few oscillation components called intrinsic mode functions …

Emotion recognition based on electroencephalography (EEG) has attracted high interest in
fields such as health care, user experience evaluation, and human–computer interaction …

Electroencephalogram (EEG) is an essential tool used to analyze the activities effectively
and different states of the brain. Drowsiness is a short period state of the brain that is also …

Railway point machines (RPMs) are safety-critical pieces of equipment closely related to
train operation safety. Due to their high failure rate, it is urgent to develop an effective …

Driver distraction, a major cause of traffic crashes, is reported to reduce driving performance
and be detected with vehicle behavioral features. It also induces physiological responses …

Upper extremity (UE) impairment is common after stroke resulting in reduced arm use in
daily life. A few studies have examined the use of wearable feedback of the quantity of arm …