Tzovaras Dimitrios, Nikolakis Georgios, Fergadis Georgios, Malasiotis Stratos, Stavrakis Modestos
Informatics and Telematics Institute, Center for Research and Technology Hellas, 57001 Thessaloniki, Greece.
IEEE Trans Neural Syst Rehabil Eng. 2004 Jun;12(2):266-78. doi: 10.1109/TNSRE.2004.828756.
This paper presents a haptic virtual reality (VR) tool developed for the training of the visually impaired. The proposed approach focuses on the development of a highly interactive and extensible haptic VR training system (the ENORASI VR training system) that allows visually impaired, to study and interact with various virtual objects in specially designed virtual environments, while allowing designers to produce and customize these configurations. Based on the system prototype and the use of the CyberGrasp haptic device, a number of custom applications have been developed. An efficient collision detection algorithm is also introduced, by extending the proximity query package (PQP) algorithm to handle five points of contact (a case studied with the use of CyberGrasp). Two test categories were identified and corresponding tests were developed for each category. The training scenarios include: object recognition and manipulation and cane simulation, used for performing realistic navigation tasks. Twenty-six blind persons conducted the tests and the evaluation results have shown the degree of acceptance of the technology and the feasibility of the proposed approach.
本文介绍了一种为视障人士训练开发的触觉虚拟现实（VR）工具。所提出的方法侧重于开发一个高度交互式且可扩展的触觉VR训练系统（ENORASI VR训练系统），该系统允许视障人士在专门设计的虚拟环境中研究各种虚拟物体并与之交互，同时允许设计师制作和定制这些配置。基于系统原型并使用CyberGrasp触觉设备，开发了一些定制应用程序。还引入了一种高效的碰撞检测算法，通过扩展邻近查询包（PQP）算法来处理五个接触点（使用CyberGrasp进行的一个案例研究）。确定了两类测试，并为每个类别开发了相应的测试。训练场景包括：物体识别与操作以及手杖模拟，用于执行逼真的导航任务。26名盲人进行了测试，评估结果表明了该技术的接受程度以及所提方法的可行性。
