School of Art and Design, Wuhan University of Technology, Wuhan 430070, China.
Sensors (Basel). 2024 Aug 21;24(16):5405. doi: 10.3390/s24165405.
Tremor is a prevalent neurological disorder characterized by involuntary shaking or trembling of body parts. This condition impairs fine motor skills and hand coordination to varying degrees and can even affect overall body mobility. As a result, tremors severely disrupt the daily lives and work of those affected, significantly limiting their physical activity space. This study developed an innovative spatial augmented reality (SAR) system aimed at assisting individuals with tremor disorders to overcome their physical limitations and expand their range of activities. The system integrates eye-tracking and Internet of Things (IoT) technologies, enabling users to smoothly control objects in the real world through eye movements. It uses a virtual stabilization algorithm for stable interaction with objects in the real environment. The study comprehensively evaluated the system's performance through three experiments: (1) assessing the effectiveness of the virtual stabilization algorithm in enhancing the system's ability to assist individuals with tremors in stable and efficient interaction with remote objects, (2) evaluating the system's fluidity and stability in performing complex interactive tasks, and (3) investigating the precision and efficiency of the system in remote interactions within complex physical environments. The results demonstrated that the system significantly improves the stability and efficiency of interactions between individuals with tremor and remote objects, reduces operational errors, and enhances the accuracy and communication efficiency of interactions.
震颤是一种常见的神经系统疾病，其特征是身体部位不由自主地抖动或颤抖。这种情况会不同程度地损害精细运动技能和手部协调能力，甚至会影响整体身体活动能力。因此，震颤严重干扰了受影响者的日常生活和工作，大大限制了他们的身体活动空间。本研究开发了一种创新的空间增强现实 (SAR) 系统，旨在帮助震颤障碍患者克服身体限制并扩大活动范围。该系统集成了眼动追踪和物联网 (IoT) 技术，使用户能够通过眼动平稳地控制现实世界中的物体。它使用虚拟稳定化算法与现实环境中的物体进行稳定交互。该研究通过三个实验全面评估了系统的性能：（1）评估虚拟稳定化算法在增强系统帮助震颤患者稳定高效地与远程物体交互的能力方面的有效性，（2）评估系统在执行复杂交互任务时的流畅性和稳定性，以及（3）研究系统在复杂物理环境中进行远程交互时的精度和效率。结果表明，该系统显著提高了震颤患者与远程物体之间交互的稳定性和效率，减少了操作错误，并提高了交互的准确性和沟通效率。
