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Dataset . 2019
License: CC BY
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ZENODO
Dataset . 2019
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HMDiR: an HRTF dataset measured on a mannequin wearing XR devices

Authors: Genovese, Andrea; Roginska, Agnieszka;

HMDiR: an HRTF dataset measured on a mannequin wearing XR devices

Abstract

The HMDiR dataset (Head-Mounted-Display acoustic Impulse Responses) comprehends HRIR measurements for 1200 locations collected over a Neumann KU-100 mannequin fitted with a variety of HMDs used for virtual, augmented, or mixed reality. The database can be used to run subjective and objective studies on the impact of wearing headgear on spatial audio perception and source localization. Data is provided in .mat format, readable in MATLAB. Source locations measured comprehend 200 azimuth angles from 0º to 358.2º in steps of 1.8º and six elevation rings from -36º to +54º in steps of 18º. Distance is 1 meter. The data was measured in November 2017 using ScanIR v2. The headsets measured were the following: Microsoft Hololens (2016 version) Metavision Meta-2 HTC Vive Samsung GearVR SM-R322 Oculus Rift CV1 The data is available as .mat files prepared in two different formats: MARL format: complete individual-entry-based structure, includes metadata information for elevation, azimuth, distance, headset type, location, measurement signal and sample rate Compact format: simplified matrix for only HRIR data packed as a 6x200 matrix. Rows spanning elevations from -36º to +54º from top-to-bottom. Columns spanning azimuth positions from 0º to 358.2º (clockwise) left-to-right. If you make use of this dataset for academic purposes, please cite the following white paper: Andrea Genovese, and Agnieskza Roginska, HMDiR: an HRTF dataset measured on a mannequin wearing XR devices, Audio Engineering Society Conference: 2019 AES International Conference on Immersive and Interactive Audio. Audio Engineering Society.

{"references": ["Genovese, A., & Roginska, A. (2019, March). HMDiR: an HRTF dataset measured on a mannequin wearing XR devices. In Audio Engineering Society Conference: 2019 AES International Conference on Immersive and Interactive Audio. Audio Engineering Society.", "Genovese, A., Zalles, G., Reardon, G., & Roginska, A. (2018, August). Acoustic Perturbations in HRTFs Measured on Mixed Reality Headsets. In Audio Engineering Society Conference: 2018 AES International Conference on Audio for Virtual and Augmented Reality. Audio Engineering Society.", "Vanasse, J., Genovese A., & Rogisnka, A. (2019, March). Multichannel Impulse Response Measurements in MATLAB: An Update. In Audio Engineering Society Conference: 2019 AES International Conference on Immersive and Interactive Audio. Audio Engineering Society."]}

More details on this data, its analysis, and the tools used to measure it, are available in the reference list provided.

Keywords

HMD, Augmented Reality, Acoustic Measurements, HRTF, XR, Virtual Reality, Spatial Audio, Head Mounted Display

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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