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Journal Article 112, 119 긴급신고 대응 지능화 기술 개발 동향
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Authors
이민정, 박현호, 백명선, 권은정, 변성원, 박영수, 정의석, 박혜숙
Issue Date
2023-06
Citation
전자통신동향분석, v.38, no.3, pp.57-65
ISSN
1225-6455
Publisher
한국전자통신연구원
Language
Korean
Type
Journal Article
DOI
https://dx.doi.org/10.22648/ETRI.2023.J.380307
Abstract
Emergency numbers, such as 112 and 119, are used in many countries to connect people in need with emergency services such as police, fire, and medical assistance. We describe development directions of intelligent response technology for emergency calls. The development of this technology refers to enhancing the efficiency and effectiveness of response systems by using advanced methods such as artificial intelligence, machine learning, and big data analytics. We focus on a system that assists the receptionist of an emergency call. In the future, the recognition rate and decision-making accuracy of intelligent response technologies should be improved considering characteristics of public safety and emergency domain data. Although the current technology remains at the level of assisting a receptionist, a fully autonomous response technology is expected to emerge in the future.
KSP Keywords
Big Data Analytics(BDA), Current technology, Medical assistance, People in need, Public safety, Recognition rate, artificial intelligence, decision making, efficiency and effectiveness, emergency calls, emergency services
This work is distributed under the term of Korea Open Government License (KOGL)
(Type 4: : Type 1 + Commercial Use Prohibition+Change Prohibition)
Type 4: