This survey describes recent progress in the field of Affective Computing (AC), with a focus
on affect detection. Although many AC researchers have traditionally attempted to remain …

Mitigating the situational factors that give rise to state boredom is a consistent challenge
facing educators. Despite the growing amount of literature devoted to the construct, the field …

Over the past few years, there has been an increased interest in automatic facial behavior
analysis and understanding. We present OpenFace-an open source tool intended for …

Micro-facial expressions are spontaneous, involuntary movements of the face when a
person experiences an emotion but attempts to hide their facial expression, most likely in a …

Micro-expressions are brief facial movements characterized by short duration,
involuntariness and low intensity. Recognition of spontaneous facial micro-expressions is a …

Automatic detection of Facial Action Units (AUs) is crucial for facial analysis systems. Due to
the large individual differences, performance of AU classifiers depends largely on training …

Recently, the recognition task of spontaneous facial micro-expressions has attracted much
attention with its various real-world applications. Plenty of handcrafted or learned features …

We explored how computer vision techniques can be used to detect engagement while
students (N= 22) completed a structured writing activity (draft-feedback-review) similar to …

Thanks to the decreasing cost of whole-body sensing technology and its increasing
reliability, there is an increasing interest in, and understanding of, the role played by body …

Recognizing emotions during social interactions has many potential applications with the
popularization of low-cost mobile sensors, but a challenge remains with the lack of …