This review article explores the transformative advancements in wearable biosignal sensors
powered by machine learning, focusing on four notable biosignals: electrocardiogram …

Background: Wearable multi-modal time-series classification applications outperform their
best uni-modal counterparts and hold great promise. A modality that directly measures …

The field of VR-EEG affective computing is rapidly progressing. However, it faces challenges
such as lacking a solid psychological theory foundation, limited classification accuracy, and …

This study presents a comprehensive literature review on the convergence of affective
computing, interactive installation art, multi-dimensional sensory stimulation, and artificial …

Day traders in the financial markets are under constant pressure to make rapid decisions
and limit capital losses in response to fluctuating market prices. As such, their emotional …

Creativity is the basis for innovation and a source of national and industrial competitiveness.
Thus, pedagogical enhancement of creativity is desirable, particularly via application of new …

Emotion recognition is one of the most important issues in human–computer interaction
(HCI), neuroscience, and psychology fields. It is generally accepted that emotion recognition …

Electroencephalography (EEG) is increasingly important in Brain-Computer Interface (BCI)
systems due to its portability and simplicity. In this paper, we provide a comprehensive …

Recent research has focused on the effectiveness of Virtual Reality (VR) in games as a more
immersive method of interaction. However, there is a lack of robust analysis of the …

Background The addition of biofeedback and artificial intelligence (AI) in simulation training
and serious games has shown promising results in improving the effectiveness of training …