Analysis of methods of recognizing the emotional state of dogs which provide physical protection and safety of critical infrastructure objects

Please use this identifier to cite or link to this item: http://hdl.handle.net/123456789/17446

Title:	Analysis of methods of recognizing the emotional state of dogs which provide physical protection and safety of critical infrastructure objects
Authors:	Slobodian, Mariia
Keywords:	barks classification acoustic communication dog vocalizations analysis EDS MFCC
Issue Date:	30-Sep-2022
Publisher:	Taras Shevchenko National University of Kyiv
Citation:	M. Slobodian, "Analysis of methods of recognizing the emotional state of dogs, which provide physical protection and safety of critical infrastructure objects," VI International Scientific and Practical Conference on Applied Systems and Technologies in the Information Society (AISTIS), V. Pleskach, V. Zosimov, and M. Pyroh, Eds. Taras Shevchenko National University of Kyiv, Kyiv, Ukraine, Sept. 30, 2022, pp. 297-302, doi: 10.5281/zenodo.7392439
Abstract:	This paper presents a general overview of the methods for automated recognition of dogs' emotional states using acoustic features.
URI:	https://zenodo.org/record/7392439 http://hdl.handle.net/123456789/17446
Appears in Collections:	Наукові роботи студентів, магістрантів, аспірантів (ФМІ)

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