AI Article Synopsis
- Two methods for detecting a person's location in a small room are discussed: Direct Intersection and Sonogram analysis.
- Direct Intersection uses distance measurements from reverberations to find coordinates, while Sonogram analysis creates an intensity map from multiple audio channels.
- Direct Intersection is faster and uses less memory but can be less reliable than the Sonogram method, which is more consistent despite being slower overall.
Article Abstract
We discuss two methods to detect the presence and location of a person in an acoustically small-scale room and compare the performances for a simulated person in distances between 1 and 2 m. The first method is Direct Intersection, which determines a coordinate point based on the intersection of spheroids defined by observed distances of high-intensity reverberations. The second method, Sonogram analysis, overlays all channels' room impulse responses to generate an intensity map for the observed environment. We demonstrate that the former method has lower computational complexity that almost halves the execution time in the best observed case, but about 7 times slower in the worst case compared to the Sonogram method while using 2.4 times less memory. Both approaches yield similar mean absolute localization errors between 0.3 and 0.9 m. The Direct Intersection method performs more precise in the best case, while the Sonogram method performs more robustly.
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Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8271839 | PMC |
| http://dx.doi.org/10.3390/s21134465 | DOI Listing |
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