Akademik Veri Yönetim Sistemi
22nd IEEE Mediterranean Electrotechnical Conference, MELECON 2024, Porto, Portekiz, 25 - 27 Haziran 2024, ss.701-704
Biomedical robotics applications could highly profit from the increased need for immersive depth perception experiences for end-users. This immersive depth perception could demonstrate encouraging outcomes in the realm of motor learning when combined with robot-assisted motor control tasks. To help this profit, significant findings regarding depth perception efficacy are obtained in this study by taking into account various 3D video features and representation forms. To obtain these findings, first of all, an interface is designed to create 3D videos with specific features in an iterative manner. Then, different video contents are created with the assistance of this interface. Following this, Just Noticeable Difference in Depth (JNDD) evaluation is performed through subjective experiments using these 3D video contents. The JNDD evaluation focuses on end-users' immediate depth perception response while viewing 3D video contents. In light of this study, it can be clearly stated that the acquired findings and insights could serve as a basis for enhanced end-user motor learning and control ability attempts in the realm of future health applications of the biomedical robotics research field.