A system for animal health monitoring and emotions detection

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62690094%3A18450%2F23%3A50021795" target="_blank" >RIV/62690094:18450/23:50021795 - isvavai.cz</a>

Result on the web

<a href="https://link.springer.com/book/10.1007/978-3-031-49008-8" target="_blank" >https://link.springer.com/book/10.1007/978-3-031-49008-8</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/978-3-031-49008-8_4" target="_blank" >10.1007/978-3-031-49008-8_4</a>

Result language

angličtina

Original language name

A system for animal health monitoring and emotions detection

Original language description

We are used to seeing the manifestations of various emotionsin humans, but animals also show emotions. A better understanding of animal emotions is closely related to creating animal welfare. Research in this direction may impact other ways to improve the lives of domestic and farm animals or animals in captivity. In addition, better recognition of negative emotions in animals can help prevent unwanted behaviour and health problems caused by long-term increased levels of stress or other negative emotional states. Research projects focused on the emotional needs of animals can benefit animals and contribute to a more ethical and sustainable relationship between humans and animals.This article is focused on the one hand on the description of the system that was created in the previous related research for monitoring the vital functions of animals, and on the other hand, especially on the investigation of the possibilities of how the given system can be used to identify the emotional states of animals.

Czech name

—

Czech description

—

Type

D - Article in proceedings

CEP classification

—

OECD FORD branch

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project

—

Continuities

S - Specificky vyzkum na vysokych skolach

Publication year

2023

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

PROGRESS IN ARTIFICIAL INTELLIGENCE, EPIA 2023, PT I

ISBN

978-3-031-49008-8

ISSN

2945-9133

e-ISSN

1611-3349

Number of pages

12

Pages from-to

41-52

Publisher name

Springer

Place of publication

Cham

Event location

Faial Island, Azores

Event date

Sep 5, 2023

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

001160573500004