Devigne Louise, Babel Marie, Nouviale Florian, Narayanan Vishnu K, Pasteau Francois, Gallien Philippe
IEEE Int Conf Rehabil Robot. 2017 Jul;2017:995-1000. doi: 10.1109/ICORR.2017.8009379.
Driving a power wheelchair is a difficult and complex visual-cognitive task. As a result, some people with visual and/or cognitive disabilities cannot access the benefits of a power wheelchair because their impairments prevent them from driving safely. In order to improve their access to mobility, we have previously designed a semi-autonomous assistive wheelchair system which progressively corrects the trajectory as the user manually drives the wheelchair and smoothly avoids obstacles. Developing and testing such systems for wheelchair driving assistance requires a significant amount of material resources and clinician time. With Virtual Reality technology, prototypes can be developed and tested in a risk-free and highly flexible Virtual Environment before equipping and testing a physical prototype. Additionally, users can "virtually" test and train more easily during the development process. In this paper, we introduce a power wheelchair driving simulator allowing the user to navigate with a standard wheelchair in an immersive 3D Virtual Environment. The simulation framework is designed to be flexible so that we can use different control inputs. In order to validate the framework, we first performed tests on the simulator with able-bodied participants during which the user's Quality of Experience (QoE) was assessed through a set of questionnaires. Results show that the simulator is a promising tool for future works as it generates a good sense of presence and requires rather low cognitive effort from users.
驾驶电动轮椅是一项困难且复杂的视觉认知任务。因此,一些有视觉和/或认知障碍的人无法从电动轮椅中受益,因为他们的障碍使他们无法安全驾驶。为了改善他们的出行便利性,我们之前设计了一种半自动辅助轮椅系统,该系统在用户手动驾驶轮椅时逐步校正轨迹,并能平稳避开障碍物。开发和测试这种轮椅驾驶辅助系统需要大量的物质资源和临床医生的时间。借助虚拟现实技术,可以在配备和测试物理原型之前,在无风险且高度灵活的虚拟环境中开发和测试原型。此外,用户在开发过程中可以更轻松地进行“虚拟”测试和训练。在本文中,我们介绍了一种电动轮椅驾驶模拟器,它允许用户在沉浸式3D虚拟环境中使用标准轮椅进行导航。该模拟框架设计得很灵活,以便我们可以使用不同的控制输入。为了验证该框架,我们首先在模拟器上对身体健全的参与者进行了测试,在此期间通过一组问卷评估了用户的体验质量(QoE)。结果表明,该模拟器对于未来的工作是一个很有前景的工具,因为它能产生良好的临场感,并且用户所需的认知努力相当低。