Deconstruction, a hazardous stage in a building's lifecycle, requires safe and efficient
human-robot collaboration (HRC). However, existing studies lack a comprehensive …

Abstract Machine learning models can inherit biases from their training data, leading to
discriminatory or inaccurate predictions. This is particularly concerning with the increasing …

Driving performance can be significantly impacted when a person experiences intense
emotions behind the wheel. Research shows that emotions such as anger, sadness …

Personality represents enduring patterns, providing insights into an individual's aptitude and
behavior. Integrating these insights with learning tendencies shows promise in enhancing …

Emotion recognition, an important bridge in human-computer interaction, has attracted
significant interest. Although numerous studies have made progress in auditory and visual …

Recognizing the real emotion of humans is considered the most essential task for any
customer feedback or medical applications. There are many methods available to recognize …

Mental disorders show a rapid increase and cause considerable harm to individuals as well
as the society in recent decade. Hence, mental disorders have become a serious public …

Emotion recognition is a crucial research area in natural language processing (NLP), aiming
to identify emotional states such as happiness, anger, and sadness from various sources …

As a crucial form of non-verbal communication, facial expressions can convey an
individual's emotional state through a combination of facial muscle movements and provide …

Researchers have recently focused on multimodal emotion recognition, but issues persist in
recognizing emotions in multi-party dialogue scenarios. Most studies have only used text …