The spatial behavior of passersby can be critical to blind individuals to initiate interactions, preserve personal space, or practice social distancing during a pandemic. Among other use cases, wearable cameras employing computer vision can be used to extract proxemic signals of others and thus increase access to the spatial behavior of passersby for blind people. Analyzing data collected in a study with blind (N=10) and sighted (N=40) participants, we explore: (i) visual information on approaching passersby captured by a head-worn camera; (ii) pedestrian detection algorithms for extracting proxemic signals such as passerby presence, relative position, distance, and head pose; and (iii) opportunities and limitations of using wearable cameras for helping blind people access proxemics related to nearby people. Our observations and findings provide insights into dyadic behaviors for assistive pedestrian detection and lead to implications for the design of future head-worn cameras and interactions.

中文翻译：

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通过头戴式摄像头获取路人的近距信号：盲人的机遇与局限

路人的空间行为对于盲人发起互动、保护个人空间或在大流行期间进行社交疏远至关重要。在其他用例中，采用计算机视觉的可穿戴相机可用于提取他人的近距信号，从而增加盲人对路人空间行为的了解。分析在盲人 (N=10) 和视力正常 (N=40) 参与者的研究中收集的数据，我们探索：(i) 由头戴式摄像机捕获的接近路人的视觉信息；(ii) 用于提取诸如路人存在、相对位置、距离和头部姿势等邻近信号的行人检测算法；(iii) 使用可穿戴相机帮助盲人获取与附近人相关的近景信息的机会和局限性。