Head-related transfer function (HRTF) is an essential component to create an immersive listening experience over headphones for virtual reality (VR) and augmented reality (AR) applications. Metaverse combines VR and AR to create immersive digital experiences, and users are very likely to interact with virtual objects in the near-field (NF). The HRTFs of such objects are highly individualized and dependent on directions and distances. Hence, a significant number of HRTF measurements at different distances in the NF would be needed. Using conventional static stop-and-go HRTF measurement methods to acquire these measurements would be time-consuming and tedious for human listeners. In this paper, we propose a continuous measurement system targeted for the NF, and efficiently capturing HRTFs in the horizontal plane within 45 secs. Comparative experiments are performed on head and torso simulator (HATS) and human listeners to evaluate system consistency and robustness.

翻译：头相关传输函数（HRTF）是虚拟现实（VR）和增强现实（AR）应用中通过耳机营造沉浸式听觉体验的核心要素。元宇宙结合VR与AR构建沉浸式数字体验，用户极有可能与近场（NF）中的虚拟对象产生交互。此类对象的HRTF具有高度个体差异性，且与方向和距离密切相关。因此需要在近场中对不同距离的HRTF进行大量测量。采用传统静态“停-走”HRTF测量方法获取这些数据对于人类受试者而言耗时且繁琐。本文针对近场场景提出了一种连续测量系统，可在45秒内高效捕获水平面内的HRTF数据。通过在头与躯干模拟器（HATS）及人类受试者上开展对比实验，验证了系统的测量一致性与鲁棒性。