Comparing Two Safe Distance Maintenance Algorithms for a Gaze-Controlled HRI Involving Users with SSMI

Autor:	Vinay Krishna Sharma, L. R. D. Murthy, Pradipta Biswas
Rok vydání:	2022
Předmět:	Human-Computer Interaction Computer Science Applications
Zdroj:	ACM Transactions on Accessible Computing. 15:1-23
ISSN:	1936-7236 1936-7228
Popis:	People with severe speech and motor impairment often find it difficult to manipulate physical objects due to spasticity and have familiarity with eye pointing based communication. This article 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 followed by a user trial involving end users. Users with severe speech and motor impairment could bring the robotic arm at any designated point within its working envelope in less than 3 minutes.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::ceda5a04f91e62a7656876be302da48f https://doi.org/10.1145/3530822 Zobrazit plný text záznamu