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Multi-input and Multi-variable systems

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Related Experiment Video

Updated: Jun 16, 2026

Design and Analysis for Fall Detection System Simplification

Design and Analysis for Fall Detection System Simplification

Published on: April 6, 2020

Intelligent Complementary Multi-Modal Fusion for Anomaly Surveillance and Security System.

Jae-Hyeok Jeong¹, Hwan-Hee Jung², Yong-Hoon Choi²

¹Department of Electronic Information System Engineering, Sangmyung University, Cheonan 31066, Republic of Korea.

Sensors (Basel, Switzerland)

|November 25, 2023

Summary

This summary is machine-generated.

This study introduces an advanced deep learning (DL) system for security anomaly detection and classification. The multi-modal fusion approach achieved 85% accuracy, significantly improving upon single-model performance.

Failed At:

2026-06-19T13:40:28.962371+00:00

Keywords:

3D convolutional autoencoder GTA dataset anomaly classification anomaly detection multi-modal slowfast surveillance and security

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