利用模拟假体视觉进行路径寻找：与常规渲染和结构增强渲染的性能比较。

Wayfinding with simulated prosthetic vision: performance comparison with regular and structure-enhanced renderings.

作者信息

Vergnieux Victor, Macé Marc J-M, Jouffrais Christophe

出版信息

Annu Int Conf IEEE Eng Med Biol Soc. 2014;2014:2585-8. doi: 10.1109/EMBC.2014.6944151.

DOI:10.1109/EMBC.2014.6944151

Abstract

In this study, we used a simulation of upcoming low-resolution visual neuroprostheses to evaluate the benefit of embedded computer vision techniques in a wayfinding task. We showed that augmenting the classical phosphene rendering with the basic structure of the environment - displaying the ground plane with a different level of brightness - increased both wayfinding performance and cognitive mapping. In spite of the low resolution of current and upcoming visual implants, the improvement of these cognitive functions may already be possible with embedded artificial vision algorithms.

摘要

在本研究中，我们使用了对即将出现的低分辨率视觉神经假体的模拟，以评估嵌入式计算机视觉技术在寻路任务中的益处。我们表明，用环境的基本结构增强经典的光幻视渲染——以不同亮度水平显示地面平面——提高了寻路性能和认知地图构建能力。尽管当前和即将出现的视觉植入物分辨率较低，但通过嵌入式人工视觉算法可能已经可以改善这些认知功能。