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Comparing two safe distance maintenance algorithms for a gaze controlled HRI involving users with SSMI
2022
ACM Transactions on Accessible Computing
People with Severe Speech and Motor Impairment (SSMI) often find it difficult to manipulate physical objects due to spasticity and have familiarity with eye pointing based communication. This paper presents a novel eye-gaze controlled augmented reality human-robot interface that maintains a safe distance of the robot from the operator. We used a bespoke appearance-based eye-gaze tracking algorithm and compared two different safe distance maintenance algorithms. We undertook simulation studies
doi:10.1145/3530822
fatcat:ltwjobsv7nedxisq6rt3vs3xc4