Human–System Interaction Based on Eye Tracking for a Virtual Workshop
نویسندگان
چکیده
With the constant exploration and development of intelligent manufacturing, concept digital twins has been proposed applied. In view complexity intellectualization virtual workshop systems, real workshops can link with workshosp based on AR under structure twins, which allows users to interact information perceive superimposed world great immersion. However, three-dimensionality interaction complex be challenging for users. Due a shortage input bandwidth nontraditional mode interaction, more natural technique is required. To solve such problems, this paper presents technical framework 3D eye movement applied workshop. An technique, oriented implicit explicit developed by establishing behavior recognition intention understanding. eye-movement experiment verifies former’s accuracy above 90% had better performance. A feature vector group latter selected establish model verify its feasibility effectiveness. Finally, verified through an application example.
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ژورنال
عنوان ژورنال: Sustainability
سال: 2022
ISSN: ['2071-1050']
DOI: https://doi.org/10.3390/su14116841