Objective. Processing strategies are analyzed with respect to the classification of
electroencephalographic signals related to brain-computer interfaces (BCIs) based on motor …

An interesting case of the well-known Dataset Shift Problem is the classification of
Electroencephalogram (EEG) signals in the context of Brain-Computer Interface (BCI). The …

This article proposes the characterization of stimulation and detection equipment in the
design of wearable brain–computer interfaces (BCIs) based on visually evoked potentials. In …

An electroencephalography (EEG)-based classification system of three levels of fear of
heights is proposed. A virtual reality (VR) scenario representing a canyon was exploited to …

Three levels of fear of heights were detected in subjects with different severities of
acrophobia, based on the electroencephalographic (EEG) and electrocardiographic (ECG) …

This study aims at evaluating the use of wearable sensors in the Industry 4.0 context to
measure and assess the worker's thermal comfort, which impacts on the general well-being …

The development of personal comfort models (PCMs) is pivotal for the optimization of both
the occupants' comfort and the building energy consumption; wearable sensors assessing …

The present work focuses on how to build a wearable brain-computer interface (BCI). BCIs
are a novel means of human-computer interaction that relies on direct measurements of …

Designing interactions for elderly people is the focus of multidisciplinary research initiatives
integrating the applied psychology, design research, and IT engineering perspectives …

In an era in which aging people have to avoid unnecessary travel to the hospital and risky
situations, the medical and healthcare sector are facing more and more of the challenges …