Publication details
Abstract: Emotion recognition using machine learning have plenty of
applications in areas such as education, healthcare, marketing, and
entertainment, and have the potential to improve human-computer
interaction and communication. However, appropriate recognition of
emotions remains a challenging task due to the complexity and
inconstancy of human behavior, and ongoing research is needed to
achieve the performance and robustness of machine learning models.
Emotion recognition entangles the use of algorithms and statistical
models to automatically acknowledge the patterns and features in
visual and auditory data that fit specific emotional states and
nonverbal behaviors. The process typically meets several steps,
including data collection,