S. Todd, E. Lenzing, and M. Roan, “Application of spatial audio for the human perception of radio frequency fields,” in Proc. AES 2024 International Conference on Audio for Virtual and Augmented Reality, Aug. 2024, pp. 5:1-8. [Online]. Available: https://aes.org/publications/elibrary-page/?id=22654
Todd S, Lenzing E, Roan M. Application of spatial audio for the human perception of radio frequency fields. In: AES 2024 International Conference on Audio for Virtual and Augmented Reality. Audio Engineering Society; 2024.pp. 5:1-8. Available from: https://aes.org/publications/elibrary-page/?id=22654
@inproceedings{Todd2024_22654,
author = {Todd, Steven and Lenzing, Erik and Roan, Michael},
title = {{Application of spatial audio for the human perception of radio frequency fields}},
booktitle = {AES 2024 International Conference on Audio for Virtual and Augmented Reality},
pages = {5:1-8},
year = {2024},
month = aug,
publisher = {Audio Engineering Society},
url = {https://aes.org/publications/elibrary-page/?id=22654}
}
TY - CPAPER
TI - Application of spatial audio for the human perception of radio frequency fields
AU - Todd, Steven
AU - Lenzing, Erik
AU - Roan, Michael
T2 - AES 2024 International Conference on Audio for Virtual and Augmented Reality
SP - 1
EP - 8
M1 - Paper 5
PY - 2024
DA - 2024/08/05
UR - https://aes.org/publications/elibrary-page/?id=22654
PB - Audio Engineering Society
LA - en
AB - This paper introduces a new method for spatial radio frequency (RF) recording and sonification which enables human detection, classification, and localization of RF signal sources. A modified version of the orthogonal matching pursuits algorithm is used to create an RF array that produces signals compatible with spatial audio processing methods. Further, a sonification algorithm using principal component analysis was developed. This algorithm extracts the most common information from the RF data and shifts it into an audible range of frequencies. These two components are combined to produce an audible soundfield representative of the RF data.
ER -