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By the way we ask ourselves: can the student handle frustration when learning is difficult? Goleman says, albeit with precious little data at hand, that experienced teachers are very good at recognizing and dealing with students' emotional states and, based on impressions, take some actions that have a positive impact on learning. But what these expert teachers see and how they decide on a course of action is an open question. There are no scientific research studies regarding the application of affective computing to the domain of dyslexia, but efforts have been made to integrate sensors for emotion detection during the learning process with the aim of identifying students' emotions as they interact with computer systems.
For example, cameras have been installed in China to monitor USA Email List students' emotions, scanning facial expressions every 30 seconds and alerting the teacher if a pupil's attention drops below a certain level. In the United States, webcams have been used to record students during computer tutoring sessions and identify levels of engagement and frustration. Is it possible to support the understanding of emotional states that contribute to human health and well-being by measuring emotional indices starting from physiological arousal during student performance ? In the next paragraph we will mention the possible use of emotional inferences in conjunction with performance, to provide feedback aimed at improving the subject's management capacity and knowledge.

Affective computing and dyslexia A clear goal of emotion recognition systems in a real context is to be applicable in a discreet and non-invasive way. An ecological emotion recognition system based on wearable devices could potentially provide insight into triggers and potential triggers detected in students. Through the integration of physiological and audio-visual parameters recorded by the multimodal system and the study of the context. For example, within a reading or calculation task, or during a training or rehabilitation session. Positive-Affective-Computing-Dyslexia-CHART1 As Livingston et al (2018) state, it is possible that the characteristics of dyslexia can be prevented or reduced by identifying the difficulties and through early remedies.
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