In this paper, we propose a multi-sensory intelligent system to predict user engagement using facial expression and body posture data while the user performs a ...
Apr 15, 2018 · In this paper, we propose a multi-sensory intelligent system to predict user engagement using facial expression and body posture data while the ...
Apr 12, 2018 · In this paper, we focus on developing a system that predicts user's engagement level using facial expressions and body postures while the user ...
Monitoring task engagement using facial expressions and body postures. Retrieved from https://par.nsf.gov/biblio/10070182. Proceedings of the 3rd International ...
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Monitoring task engagement using facial expressions and body postures. https://doi.org/10.1145/3191801.3191816. Journal: Proceedings of the 3rd International ...
Computer vision offers the prospect of unobtru- sively estimating a student's engagement by analyzing cues from the face [42], [29], [10], [11], body posture.
The findings suggest that simply shifting posture can impact judges' attention to visual information and veracity judgments.
These results highlight how both intensity and frequency of facial expressions predict tutoring outcomes. Additionally, this paper presents a novel validation ...
Oct 22, 2024 · This paper presents a real-time system for student group engagement monitoring by analysing their facial expressions and recognizing academic affective states.
This work presents AR and Haptics based novel system to detect student engagement. •. System analyses facial expression, body and head poses for student ...