Published February 5, 2019 | Version v1.0
Dataset Open

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

Creators

  • 1. NYU

Contributors

  • 1. NYU

Description

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.

Notes

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

Files

Files (2.6 GB)

Name Size Download all
md5:13c25fb8411425ef77cd2904b5ff329b
213.3 MB Download
md5:66c3a9f472563b3e4f21bf007cbe6e51
217.1 MB Download
md5:3ade5f6ea4ffbf9c11063c552fd19a5b
219.3 MB Download
md5:baf61dfa2d67d0d610ca6437edbcbdc7
217.1 MB Download
md5:5cec48867b110f62c8789c72f8e05c56
213.4 MB Download
md5:6450ae3063b0eac68d6191b139f8f697
217.1 MB Download
md5:0b1a3f787441d241925800217cb6d498
213.4 MB Download
md5:482c31ad76d449ca4a195ff9248ecf1e
217.1 MB Download
md5:3931d5546fc3942cec4df068bb81b910
219.3 MB Download
md5:799ae11e81430f4692a2ba715490277c
217.1 MB Download
md5:1d2323c8f97e69af98ba56e468f94f71
219.3 MB Download
md5:a161c1b914e351fe5401366844e66faf
217.1 MB Download

Additional details

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.