  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.
