With the increase in biosensors and data collection devices in the healthcare industry,
artificial intelligence and machine learning have attracted much attention in recent years. In …

EEG (electroencephalogram) signals could be used reliably to extract critical information
regarding ADHD (attention deficit hyperactivity disorder), a childhood neurodevelopmental …

Nowadays, a rapid, easy, and convenient access to our private information is essential to
carry out both personal and professional activities. In most cases, this information is …

Nowadays, electroencephalogram (EEG) is an emerging modality in the field of biometrics
and helps to acquire characteristic brain signals from the scalp surface corresponding to …

Epilepsy causes seizures due to abnormal brain electrical activity. Electroencephalogram
(EEG) signals are used in many medical applications, including epileptic seizure detection …

Background: Time-series biosignal data, representative of a physiological process, is often
applied to time-sensitive machine learning applications that benefit from acceleration …

For the severely disabled who still possess a normal level of consciousness, currently,
available assistive devices are mostly incompatible, making the development of an inner …

Recentemente, il settore dello sviluppo delle Brain Computer Interface (BCI) ha visto una
significativa espansione, influenzando diverse discipline tra cui psicologia, elettronica …

Behavioral biometric-based continuous user authentication is promising for securing mobile
phones while complementing traditional security mechanisms. The state of the art so far …