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@article{ART002495853},
author={Jung-Eun Song and JungJuHo and Jun-ho Ahn},
title={Intelligent Pattern Recognition Algorithms based on Dust, Vision and Activity Sensors for User Unusual Event Detection},
journal={Journal of The Korea Society of Computer and Information},
issn={1598-849X},
year={2019},
volume={24},
number={8},
pages={95-103},
doi={10.9708/jksci.2019.24.08.095}

TY - JOUR
AU - Jung-Eun Song
AU - JungJuHo
AU - Jun-ho Ahn
TI - Intelligent Pattern Recognition Algorithms based on Dust, Vision and Activity Sensors for User Unusual Event Detection
JO - Journal of The Korea Society of Computer and Information
PY - 2019
VL - 24
IS - 8
PB - The Korean Society Of Computer And Information
SP - 95
EP - 103
SN - 1598-849X
AB - According to the Statistics Korea in 2017, the 10 leading causes of death contain a cardiac disorder disease, self-injury. In terms of these diseases, urgent assistance is highly required when people do not move for certain period of time. We propose an unusual event detection algorithm to identify abnormal user behaviors using dust, vision and activity sensors in their houses. Vision sensors can detect personalized activity behaviors within the CCTV range in the house in their lives. The pattern algorithm using the dust sensors classifies user movements or dust-generated daily behaviors in indoor areas. The accelerometer sensor in the smartphone is suitable to identify activity behaviors of the mobile users. We evaluated the proposed pattern algorithms and the fusion method in the scenarios.
KW - Dust;Vision;Activity;Pattern recognition;Artificial intelligence
DO - 10.9708/jksci.2019.24.08.095
ER -

Jung-Eun Song, JungJuHo and Jun-ho Ahn. (2019). Intelligent Pattern Recognition Algorithms based on Dust, Vision and Activity Sensors for User Unusual Event Detection. Journal of The Korea Society of Computer and Information, 24(8), 95-103.

Jung-Eun Song, JungJuHo and Jun-ho Ahn. 2019, "Intelligent Pattern Recognition Algorithms based on Dust, Vision and Activity Sensors for User Unusual Event Detection", Journal of The Korea Society of Computer and Information, vol.24, no.8 pp.95-103. Available from: doi:10.9708/jksci.2019.24.08.095

Jung-Eun Song, JungJuHo, Jun-ho Ahn "Intelligent Pattern Recognition Algorithms based on Dust, Vision and Activity Sensors for User Unusual Event Detection" Journal of The Korea Society of Computer and Information 24.8 pp.95-103 (2019) : 95.

Jung-Eun Song, JungJuHo, Jun-ho Ahn. Intelligent Pattern Recognition Algorithms based on Dust, Vision and Activity Sensors for User Unusual Event Detection. 2019; 24(8), 95-103. Available from: doi:10.9708/jksci.2019.24.08.095

Jung-Eun Song, JungJuHo and Jun-ho Ahn. "Intelligent Pattern Recognition Algorithms based on Dust, Vision and Activity Sensors for User Unusual Event Detection" Journal of The Korea Society of Computer and Information 24, no.8 (2019) : 95-103.doi: 10.9708/jksci.2019.24.08.095

Jung-Eun Song; JungJuHo; Jun-ho Ahn. Intelligent Pattern Recognition Algorithms based on Dust, Vision and Activity Sensors for User Unusual Event Detection. Journal of The Korea Society of Computer and Information, 24(8), 95-103. doi: 10.9708/jksci.2019.24.08.095

Jung-Eun Song; JungJuHo; Jun-ho Ahn. Intelligent Pattern Recognition Algorithms based on Dust, Vision and Activity Sensors for User Unusual Event Detection. Journal of The Korea Society of Computer and Information. 2019; 24(8) 95-103. doi: 10.9708/jksci.2019.24.08.095

Jung-Eun Song, JungJuHo, Jun-ho Ahn. Intelligent Pattern Recognition Algorithms based on Dust, Vision and Activity Sensors for User Unusual Event Detection. 2019; 24(8), 95-103. Available from: doi:10.9708/jksci.2019.24.08.095

Jung-Eun Song, JungJuHo and Jun-ho Ahn. "Intelligent Pattern Recognition Algorithms based on Dust, Vision and Activity Sensors for User Unusual Event Detection" Journal of The Korea Society of Computer and Information 24, no.8 (2019) : 95-103.doi: 10.9708/jksci.2019.24.08.095