Customer’s spontaneous facial expression recognition

Towards Spontaneous Facial Expression Recognition

Facial Expression Recognition Based on Structural Changes in Facial Skin

Facial expressions are the most powerful and direct means of presenting human emotions and feelings and offer a window into a persons’ state of mind. In recent years, the study of facial expression and recognition has gained prominence; as industry and services are keen on expanding on the potential advantages of facial recognition technology. As machine vision and artificial intelligence advan...

Facial Expression Recognition as an Implicit Customers’ Feedback

In social interaction, face is playing an important role. Social psychology researches had agreed that among the three mediums in communication, facial expression is the one that is always active. Mehrabian [1] indicated that the verbal part of a message contributes only for 7 percent to the effect of the message as a whole; the vocal part contributes for 38 percent, while facial expression of ...

Facial Expression Recognition Based on Anatomical Structure of Human Face

Automatic analysis of human facial expressions is one of the challenging problems in machine vision systems. It has many applications in human-computer interactions such as, social signal processing, social robots, deceit detection, interactive video and behavior monitoring. In this paper, we develop a new method for automatic facial expression recognition based on facial muscle anatomy and hum...

Facial expression recognition based on Local Binary Patterns

Classical LBP such as complexity and high dimensions of feature vectors that make it necessary to apply dimension reduction processes. In this paper, we introduce an improved LBP algorithm to solve these problems that utilizes Fast PCA algorithm for reduction of vector dimensions of extracted features. In other words, proffer method (Fast PCA+LBP) is an improved LBP algorithm that is extracted ...