Classroom communication involves teacher's behavior and student's responses. Extensive
research has been done on the analysis of student's facial expressions, but the impact of …

In every learning setting, in classrooms or online, a student's emotions throughout course
involvement play a critical role. It employs disturbing, excite, and eye and head movement …

In this paper, a novel algorithm is proposed for facial expression recognition by integrating
curvelet transform and online sequential extreme learning machine (OSELM) with radial …

The quality of a teaching method used in a classroom can be assessed by observing the
facial expressions of students. To automate this, Facial Expression Recognition (FER) can …

An extreme learning machine (ELM) is a recently proposed learning algorithm for a single-
layer feed forward neural network. In this paper we studied the ensemble of ELM by using a …

The evaluations of traditional teaching quality are mainly subjective, and there is a lack of
fine-grained objective data to support the evaluation of teaching states in the classroom. In …

Facial emotional recognition is one of the essential tools used by recognition psychology to
diagnose patients. Face and facial emotional recognition are areas where machine learning …

Rapid growth in advanced human-computer interaction (HCI) based applications has led to
the immense popularity of facial expression recognition (FER) research among computer …

Facial expression is commonly utilized by humans to deliver their mood and emotional state
to other people. Facial expression recognition (FER) becomes a hot research area in recent …

In recent years, research on facial expression recognition (FER) has become an
increasingly active research topic. Deep learning is a new area, which gives a new way to …