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

Affect detection is a key component in intelligent educational interfaces that respond to
students' affective states. We use computer vision and machine-learning techniques to …

Facial expression-based emotion recognition has attracted lots of attention. Higher accurate
performance could be expected with help of the other cues, eg physiological signals, for …

This paper introduces, describes, and evaluates real-time models of affective states of
individual learners interacting with Intelligent Tutoring Systems. Computer-based instructors …

Affect detection where users' mental states are automatically recognized from facial
expressions, speech, physiology and other modalities, requires accurate machine learning …

The quality of urban public spaces affects the emotional response of users; therefore, the
emotional data of users can be used as indices to evaluate the quality of a space. Emotional …

Affect detection from physiological signals has received considerable attention. One
challenge is that physiological measures exhibit considerable variations over time, making …

Affect detection from physiological signals has received a great deal of attention recently.
One arising challenge is that physiological measures are expected to exhibit considerable …

The goal of this paper was to explore the possibility of generalizing face-based affect
detectors across multiple days, a problem which plagues physiological-based affect …

One-to-one human tutoring has been shown to produce the highest levels of learning
effectiveness. Expert human tutors have the natural ability to assess and adapt to a learner …