Emotions are an important aspect of human life. They instinctively influence our behaviors and decisions. Our face is often the best indicator for this, as our facial expressions convey emotions without saying a word and can be observed by others. Facial expressions are created with the help of muscle movements beneath the skin of the face. For researchers emotions are fundamental in understanding human behavior, as they are a crucial part in non-verbal communication and a rich source of social signals. Facial expression analysis and emotion data provides crucial insights that allow researchers to gain insight in complex human behaviors in greater depth.
Facial Expression Analysis: The Complete Pocket Guide
Facial expression analysis - FaceReader | Noldus
Over the last few years, automatic facial micro-expression analysis has garnered increasing attention from experts across different disciplines because of its potential applications in various fields such as clinical diagnosis, forensic investigation and security systems. Advances in computer algorithms and video acquisition technology have rendered machine analysis of facial micro-expressions possible today, in contrast to decades ago when it was primarily the domain of psychiatrists where analysis was largely manual. Indeed, although the study of facial micro-expressions is a well-established field in psychology, it is still relatively new from the computational perspective with many interesting problems. In this survey, we present a comprehensive review of state-of-the-art databases and methods for micro-expressions spotting and recognition.
Emotions are the essence of what makes us human. They impact our daily routines, our social interactions, our attention, perception, and memory. One of the strongest indicators for emotions is our face. Computer-based facial expression recognition mimics our human coding skills quite impressively as it captures raw, unfiltered emotional responses towards any type of emotionally engaging content. But how exactly does it work?
Visual Analysis of Humans pp Cite as. The face is one of the most powerful channels of nonverbal communication. Facial expression provides cues about emotion, intention, alertness, pain, personality, regulates interpersonal behavior, and communicates psychiatric and biomedical status among other functions. Within the past 15 years, there has been increasing interest in automated facial expression analysis within the computer vision and machine learning communities. This chapter reviews fundamental approaches to facial measurement by behavioral scientists and current efforts in automated facial expression recognition.