可穿戴设备结合步态分析与多模感知，提升盲人导航能力。
Implementing blind navigation through multi-modal sensing and gait guidance
- 通过步态阶段分析实现行走引导，结合多模态传感器感知环境。
- 室内室外实验均优于传统导盲杖，显著提升导航效率。
- 适合盲人辅助导航，尤其在复杂环境中表现更优。
截至2023年，全球视觉障碍人口已超过2.2亿。视觉障碍者在路径寻找和障碍规避方面面临困难，需依赖辅助工具。尽管传统工具如导盲杖和导盲犬存在局限，本文提出一种可穿戴式盲人引导装置，通过自研的基于步态的引导系统实现导航指引。该设备创新性地融合了步态阶段分析与多模态感知技术，以获取多样化的环境信息。实验在室内外场景中进行，并与标准导盲杖对比，结果表明本设备在盲人导航方面表现出更优性能。
原文摘要 · Abstract (English)
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.
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