论文部分内容阅读
近年来,越来越多的研究采用虚拟现实技术来训练前臂截肢患者更准确地控制肌电信号(electromyography,EMG),或训练他们使用肌电假肢。与传统训练方法相比,患者在虚拟环境中训练时具有更高的积极性和主动性,从而提高了训练效率;此外,当训练内容因现实条件限制而无法进行时,也可以利用虚拟环境完成。设计并开发了一款可提供触觉反馈的虚拟训练环境软件。与其他类似的工作相比,本文的虚拟训练环境能够通过自主开发的虚拟传感器获得虚拟环境中物体之间的接触力信息。在实验中,受试者凭借接触力信息判断虚拟物体的软硬程度。实验结果验证了虚拟环境提供的触觉反馈的有效性,并显示了它对于重建截肢患者触觉的潜在价值。
In recent years, more and more researches have used VR to train forearm limb amputations to control electromyography (EMG) more accurately or to train them to use EMG prostheses. Compared with the traditional training methods, patients have higher enthusiasm and initiative in training in the virtual environment, thus improving the training efficiency. In addition, the virtual environment can be used when the training content can not be implemented because of the realistic conditions. A virtual training environment software is designed and developed to provide tactile feedback. Compared with other similar work, the virtual training environment in this paper can obtain the contact force between objects in the virtual environment through the self-developed virtual sensors. In the experiment, subjects rely on contact force information to determine the degree of soft objects and soft objects. The experimental results validate the tactile feedback provided by the virtual environment and show its potential value in reconstructing the sense of touch in amputees.