@article{ART002891786},
author={Young-Ae Han and Kang, Hyeok and Keun-Ho Lee},
title={Dementia Patient Wandering Behavior and Anomaly Detection Technique through Biometric Authentication and Location-based in a Private Blockchain Environment},
journal={Journal of Internet of Things and Convergence},
issn={2466-0078},
year={2022},
volume={8},
number={5},
pages={119-125},
doi={10.20465/KIOTS.2022.8.5.119}
TY - JOUR
AU - Young-Ae Han
AU - Kang, Hyeok
AU - Keun-Ho Lee
TI - Dementia Patient Wandering Behavior and Anomaly Detection Technique through Biometric Authentication and Location-based in a Private Blockchain Environment
JO - Journal of Internet of Things and Convergence
PY - 2022
VL - 8
IS - 5
PB - The Korea Internet of Things Society
SP - 119
EP - 125
SN - 2466-0078
AB - With the recent increase in dementia patients due to aging, measures to prevent their wandering behavior and disappearance are urgently needed. To solve this problem, various authentication methods and location detection techniques have been introduced, but the security problem of personal authentication and a system that can check indoor and outdoor overall was lacking. In order to solve this problem, various authentication methods and location detection techniques have been introduced, but it was difficult to find a system that can check the security problem of personal authentication and indoor/outdoor overall. In this study, we intend to propose a system that can identify personal authentication, basic health status, and overall location indoors and outdoors by using wristband-type wearable devices in a private blockchain environment. In this system, personal authentication uses ECG, which is difficult to forge and highly personally identifiable, Bluetooth beacon that is easy to use with low power, non-contact and automatic transmission and reception indoors, and DGPS that corrects the pseudorange error of GPS satellites outdoors. It is intended to detect wandering behavior and abnormal signs by locating the patient. Through this, it is intended to contribute to the prompt response and prevention of disappearance in case of wandering behavior and abnormal symptoms of dementia patients living at home or in nursing homes.
KW - Biometric Authentication;Location-based;Private Blockchain;Anomaly Detection
DO - 10.20465/KIOTS.2022.8.5.119
ER -
Young-Ae Han, Kang, Hyeok and Keun-Ho Lee. (2022). Dementia Patient Wandering Behavior and Anomaly Detection Technique through Biometric Authentication and Location-based in a Private Blockchain Environment. Journal of Internet of Things and Convergence, 8(5), 119-125.
Young-Ae Han, Kang, Hyeok and Keun-Ho Lee. 2022, "Dementia Patient Wandering Behavior and Anomaly Detection Technique through Biometric Authentication and Location-based in a Private Blockchain Environment", Journal of Internet of Things and Convergence, vol.8, no.5 pp.119-125. Available from: doi:10.20465/KIOTS.2022.8.5.119
Young-Ae Han, Kang, Hyeok, Keun-Ho Lee "Dementia Patient Wandering Behavior and Anomaly Detection Technique through Biometric Authentication and Location-based in a Private Blockchain Environment" Journal of Internet of Things and Convergence 8.5 pp.119-125 (2022) : 119.
Young-Ae Han, Kang, Hyeok, Keun-Ho Lee. Dementia Patient Wandering Behavior and Anomaly Detection Technique through Biometric Authentication and Location-based in a Private Blockchain Environment. 2022; 8(5), 119-125. Available from: doi:10.20465/KIOTS.2022.8.5.119
Young-Ae Han, Kang, Hyeok and Keun-Ho Lee. "Dementia Patient Wandering Behavior and Anomaly Detection Technique through Biometric Authentication and Location-based in a Private Blockchain Environment" Journal of Internet of Things and Convergence 8, no.5 (2022) : 119-125.doi: 10.20465/KIOTS.2022.8.5.119
Young-Ae Han; Kang, Hyeok; Keun-Ho Lee. Dementia Patient Wandering Behavior and Anomaly Detection Technique through Biometric Authentication and Location-based in a Private Blockchain Environment. Journal of Internet of Things and Convergence, 8(5), 119-125. doi: 10.20465/KIOTS.2022.8.5.119
Young-Ae Han; Kang, Hyeok; Keun-Ho Lee. Dementia Patient Wandering Behavior and Anomaly Detection Technique through Biometric Authentication and Location-based in a Private Blockchain Environment. Journal of Internet of Things and Convergence. 2022; 8(5) 119-125. doi: 10.20465/KIOTS.2022.8.5.119
Young-Ae Han, Kang, Hyeok, Keun-Ho Lee. Dementia Patient Wandering Behavior and Anomaly Detection Technique through Biometric Authentication and Location-based in a Private Blockchain Environment. 2022; 8(5), 119-125. Available from: doi:10.20465/KIOTS.2022.8.5.119
Young-Ae Han, Kang, Hyeok and Keun-Ho Lee. "Dementia Patient Wandering Behavior and Anomaly Detection Technique through Biometric Authentication and Location-based in a Private Blockchain Environment" Journal of Internet of Things and Convergence 8, no.5 (2022) : 119-125.doi: 10.20465/KIOTS.2022.8.5.119
