A significant challenge in automated child affect and engagement analysis is transferring a model across datasets, as recording conditions, child behaviour, temporal effects, and annotation schemes vary and can seriously impact model reliability. To address this challenge and enable robust cross- dataset behavioural re...
R. Kanse, Sohit Agarwal· Global Journal of Engineerin...· 0 citations
The recognition of children's engagement and behavioural risk is critical to building a trusted AI-based approach to education and mental health support. However, current work shows that common engagement-recognition methods lack modelling of complex facial–temporal interactions, do not capture the ordering of engageme...
R. Kanse, Sohit Agarwal· World Journal of Advanced En...· 0 citations
Nowadays, Developments in Sentimental Computing methods have highlighted the critical role of the student sentiment in maximizing pedagogical outcomes. However, the application of traditional and automated sentiment analysis using complex classroom situations is still complicated by the limitations of the 'conventional...
Priyanka Gupta, Sohit Agarwal, J. Neve· International Conference on...· 0 citations
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