通过多模态感知与步态引导实现盲人导航
Implementing blind navigation through multi-modal sensing and gait guidance
AI总结：
针对视障人群寻路避障困难及传统辅助工具的不足，本文提出一种可穿戴盲人引导设备，创新性地结合步态相位分析与多模态感知技术，室内外实验证明其导航性能优于标准导盲杖。
摘要：
截至2023年，全球视障人口已超过2.2亿。视障人群在寻路或避障时会面临困难，必须借助辅助工具。尽管存在传统辅助工具如导盲杖和导盲犬，但它们仍有一些不足。本文提出了我们的可穿戴盲人引导设备，该设备通过我们提出的基于步态的引导系统执行导航引导。我们的设备创新性地集成了步态相位分析用于行走引导，在环境感知方面，我们使用多模态感知来获取多样化的环境信息。在实验中，我们进行了室内和室外实验，并与标准导盲杖进行了比较。结果显示我们的设备在盲人引导中表现出更优越的性能。
英文摘要：
By the year 2023, the global population of individuals with impaired vision has surpassed 220 million. People with impaired vision will find it difficult while finding path or avoiding obstacles, and must ask for auxiliary tools for help. Although traditional aids such as guide canes and guide dogs exist, they still have some shortcomings. In this paper, we present our wearable blind guiding device, what perform navigation guidance through our proposed Gait-based Guiding System. Our device innovatively integrates gait phase analysis for walking guide, and in terms of environmental perception, we use multimodal sensing to acquire diverse environment information. During the experiment, we conducted both indoor and outdoor experiments, and compared with the standard guide cane. The result shows superior performance of our device in blind guidance.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
