Visual search is ubiquitous in daily life and has attracted substantial research interest over
the past decades. Although accumulating evidence has suggested complex neurocognitive …

Existing gesture interfaces only work with a fixed set of gestures defined either by interface
designers or by users themselves, which introduces learning or demonstration efforts that …

Electroencephalography (EEG) reflects brain mechanisms, and existing research leverages
EEG-based brain-computer interfaces for remote sensing image target detection. While most …

Decoding the user's natural grasp intent enhances the application of wearable robots,
improving the daily lives of individuals with disabilities. Electroencephalogram (EEG) and …

QUB-PHEO introduces a visual-based, dyadic dataset with the potential of advancing
human-robot interaction (HRI) research in assembly operations and intention inference. This …

The perception and recognition of objects are essential for meeting consumer needs in the
realm of consumer technology. Current research exploring the association between …

Combined bridge‐tunnel scenarios of driving on mountainous city expressways occur when
bridges and tunnels frequently alternate during driving. The complex nature of these driving …

Techniques to predict participants' personality traits in real-time are not yet developed or
well-studied. The objective of the current study was to explore the use of gaze and …

Lately, there has been a dire need to enhance EEG classification for early brain disease
detection to outweigh the limitations of manual feature engineering in prevailing methods …

ABSTRACT QUB-PHEO introduces a visual-based, dyadic dataset with the potential of
advancing human-robot interaction (HRI) research in assembly operations and intention …