This comprehensive review mainly analyzes and summarizes the recently published works
on IEEExplore in sensor-driven smart living contexts. We have gathered over 150 research …

Objective: Advances in the motor imagery (MI)-based brain-computer interfaces (BCIs) allow
control of several applications by decoding neurophysiological phenomena, which are …

The movement-related cortical potential (MRCP) is a brain signal that can be recorded using
surface electroencephalography (EEG) and represents the cortical processes involved in …

Emotions provide valuable information regarding habits, health, mental activities, etc.
Emotion recognition has attracted wide interests in affective computing, medical, brain …

Flexible and biodegradable electronics is attracting the interest of the Internet of Things
industry. The necessity of sustainable development and environmental friendly electronic …

Motion artifact is observed in electroencephalogram (EEG) signals during the acquisition.
The elimination of this type of artifact using various signal processing approaches is …

Despite the advances in the field of brain computer interfaces (BCI), the use of the sole
electroencephalography (EEG) signal to control walking rehabilitation devices is currently …

Introduction During electroencephalography (EEG)-based motor imagery-brain-computer
interfaces (MI-BCIs) task, a large number of electrodes are commonly used, and consume …

In EEG based driving fatigue detection, the redundant EEG channels would increase the
probability of introducing noise and heaving calculation burden. Aiming at this point, we built …

The limited number of brain-computer interface based on motor imagery (MI-BCI) instruction
sets for different movements of single limbs makes it difficult to meet practical application …