한국인터넷정보학회 논문지
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| 한글제목(Korean Title) |
Analysis of Abnormal Event Detection Research using Intelligent IoT Devices for Human Health Cares |
| 영문제목(English Title) |
Analysis of Abnormal Event Detection Research using Intelligent IoT Devices for Human Health Cares |
| 저자(Author) |
Do-hyeon Lee
Da-hyeon Kim
Jun-ho Ahn
|
| 원문수록처(Citation) |
VOL 23 NO. 02 PP. 0037 ~ 0044 (2022. 04) |
한글내용
(Korean Abstract) |
|
영문내용
(English Abstract) |
With the outbreak of COVID-19, non-face-to-face activities such as remote learning and telecommuting have increased rapidly. As a result, the number of people staying at home and the number of hours spent inside the house have also increased since the pandemic. Our team had previously worked on methods for detecting abnormal conditions in a person’s health in various circumstances within the house by converging single sensor-based algorithms. In our previous research, we installed IoT sensors indoors to detect people emergency situations requiring aids, the scope of detection was limited to indoor space due to the limitation in sensors. In this study, we have come up with a system that integrates our previous study with a new method for detecting abnormal conditions in outdoor environments using outdoor security cameras and wearable devices. The proposed system enables users to be notified of emergency situations in both indoor and outdoor areas and respond to them as quickly as possible. |
| 키워드(Keyword) |
Intelligence
Emergency detection
IoT sensors
wearable device
Health cares
|
| 파일첨부 |
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