Emotion recognition based on electroencephalography (EEG) signal features is now one of
the booming big data research areas. As the number of commercial EEG devices in the …

Since the launch of the first consumer grade EEG measuring sensorsNeuroSky Mindset'in
2007, the market has witnessed an introduction of at least one new product every year by …

Event-related desynchronization and synchronization (ERD/S) and movement-related
cortical potential (MRCP) play an important role in brain-computer interfaces (BCI) for lower …

With the continuous development of the times, social competition is becoming increasingly
fierce, people are facing enormous pressure and mental health problems have become …

Feature extraction of electroencephalography (EEG) signals plays a significant role in the
wearable computing field. Due to the practical applications of EEG emotion calculation …

To enable continuous, mobile health monitoring, body-worn sensors need to offer
comparable performance to clinical devices in a lightweight, unobtrusive package. This work …

Brain-computer interfaces (BCIs) are technologies that provide the user with an alternative
way of communication. A BCI measures brain activity (eg EEG) and converts it into output …

For several decades, electroencephalography (EEG) has featured as one of the most
commonly used tools in emotional state recognition via monitoring of distinctive brain …

Over the last decade, the area of electroencephalography (EEG) witnessed a progressive
move from high-end large measurement devices, relying on accurate construction and …

Wearable electroencephalography (EEG) has the potential to improve everyday life through
brain–computer interfaces (BCI) for applications such as sleep improvement, adaptive …