Effectiveness of time-varying echo information for target geometry identification in bat-inspired human echolocation

Miwa Sumiya1,2, Kaoru Ashihara3, Hiroki Watanabe4

  • 1Center for Information and Neural Networks (CiNet), National Institute of Information and Communications Technology (NICT), Seika-cho, Kyoto, Japan.

Plos One
|May 5, 2021
PubMed
Summary

Humans can learn echolocation by listening to how sound echoes change over time, similar to bats. This study shows that using these time-varying acoustic cues helps identify object shapes, especially without immediate feedback.