4 citations · 4 across the 2 of their papers we have counts for
4 papers
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…
Gaze-contingent decoding of human navigation intention on an autonomous wheelchair platform
Mahendran Subramanian, Suhyung Park, Pavel Orlov +2
We have pioneered the Where-You-Look-Is Where-You-Go approach to controlling mobility platforms by decoding how the user looks at the environment to understand where they want to n…
Gaze-based, Context-aware Robotic System for Assisted Reaching and Grasping
Ali Shafti, Pavel Orlov, A. Aldo Faisal
Assistive robotic systems endeavour to support those with movement disabilities, enabling them to move again and regain functionality. Main issue with these systems is the complexi…
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…