This paper is the first review into the automatic analysis of speech for use as an objective
predictor of depression and suicidality. Both conditions are major public health concerns; …

It is becoming a trend to apply an emotional lens and to position emotions as central to
educational interactions. Recently, affective computing has been one of the most actively …

This study aimed to construct a novel multimodal model by fusing different
electroencephalogram (EEG) data sources, which were under neutral, negative and positive …

Affect detection is an important pattern recognition problem that has inspired researchers
from several areas. The field is in need of a systematic review due to the recent influx of …

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 …

Multimodal recognition of affective states is a difficult problem, unless the recording
conditions are carefully controlled. For recognition “in the wild”, large variances in face pose …

The last decade has witnessed considerable interest in the investigation of the affective
dimensions of learning and in the development of advanced learning technologies that …

An estimated 350 million people worldwide are affected by depression. Using affective
sensing technology, our long-term goal is to develop an objective multimodal system that …

With the rapid development of mobile and wearable devices, it is increasingly possible to
access users' affective data in a more unobtrusive manner. On this basis, researchers have …

This paper presents the evaluation of the synchronization of three emotional measurement
methods (automatic facial expression recognition, self-report, electrodermal activity) and …