CNN-LSTM Based Lonely Death Prevention Home AIoT System 


Vol. 50,  No. 7, pp. 1143-1152, Jul.  2025
10.7840/kics.2025.50.7.1143


PDF Full-Text
  Abstract

In According to recent statistics, 79.1% of solitary death cases occur among young and middle-aged adults, extending beyond the elderly population and affecting all age groups. Additionally, 78.8% of individuals at risk of solitary death are from single-person households. This highlights the growing need for technologies capable of continuously monitoring movements in single-person households and providing immediate response in emergency situations. This paper proposes a real-time monitoring system that tracks and predicts hourly movements in single-person households. To achieve this, we developed a solitary death prevention system utilizing motion data and AI (Artificial Intelligence) for time-series predictions. The system employs PIR sensors (Passive Infrared Sensor) strategically placed in multiple locations within the home to address blind spots and expand the detection range. By implementing a Home AIoT (Artificial Intelligence of Things) system using a CNN-LSTM (Convolutional Neural Network-Long Short-Term Memory) model, the practicality of the system is validated.

  Statistics
Cumulative Counts from November, 2022
Multiple requests among the same browser session are counted as one view. If you mouse over a chart, the values of data points will be shown.


  Related Articles
  Cite this article

[IEEE Style]

Y. Kim, S. Oh, J. Kim, "CNN-LSTM Based Lonely Death Prevention Home AIoT System," The Journal of Korean Institute of Communications and Information Sciences, vol. 50, no. 7, pp. 1143-1152, 2025. DOI: 10.7840/kics.2025.50.7.1143.

[ACM Style]

Yong-Ho Kim, Sung-Hyun Oh, and Jeong-Gon Kim. 2025. CNN-LSTM Based Lonely Death Prevention Home AIoT System. The Journal of Korean Institute of Communications and Information Sciences, 50, 7, (2025), 1143-1152. DOI: 10.7840/kics.2025.50.7.1143.

[KICS Style]

Yong-Ho Kim, Sung-Hyun Oh, Jeong-Gon Kim, "CNN-LSTM Based Lonely Death Prevention Home AIoT System," The Journal of Korean Institute of Communications and Information Sciences, vol. 50, no. 7, pp. 1143-1152, 7. 2025. (https://doi.org/10.7840/kics.2025.50.7.1143)
Vol. 50, No. 7 Index

Search
(IN TITLE, AUTHOR, ABSTRACT,KEYWORDS)

Advanced Search ▼

POPULAR KEYWORDS
(TOP 10 KEYWORDS)

Recent Publications
(LAST 3 YEARS)






pISSN : 1226 - 4717
eISSN : 2287 - 3880