most citedMIDAS: Deep learning human action intention prediction from natural eye movement patterns

4 citations · 4 across the 1 of their papers we have counts for

collaborators

2 papers

cs.CV2022★ 4 cited

MIDAS: Deep learning human action intention prediction from natural eye movement patterns

Paul Festor, Ali Shafti, Alex Harston +3

Eye movements have long been studied as a window into the attentional mechanisms of the human brain and made accessible as novelty style human-machine interfaces. However, not ever…

cs.CV2018

Towards an Embodied Semantic Fovea: Semantic 3D scene reconstruction from ego-centric eye-tracker videos

Mickey Li, Noyan Songur, Pavel Orlov +2

Incorporating the physical environment is essential for a complete understanding of human behavior in unconstrained every-day tasks. This is especially important in ego-centric tas…