A Kalman-LSTM Hybrid Model for Human Behavior Prediction and  Anomaly Detection in Dynamic Environments

Vikalendu ,Gurvind Asia ,Sanju Gupta,Amit Garg

A Kalman-LSTM Hybrid Model for Human Behavior Prediction and Anomaly Detection in Dynamic Environments

Authors

Vikalendu ,Gurvind Asia ,Sanju Gupta,Amit Garg

Keywords:

Abstract

This study presents a Kalman-LSTM hybrid framework for human behavior prediction and anomaly detection in dynamic environments, integrating thestrengths of sequential modeling and probabilistic state estimation. Humanactivity patterns

References

L. F. Jane and P. Smith, Human Behavior Modeling in Dynamic Environments, Springer, 2020.

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Published

2024-04-15

How to Cite

Vikalendu ,Gurvind Asia ,Sanju Gupta,Amit Garg. (2024). A Kalman-LSTM Hybrid Model for Human Behavior Prediction and Anomaly Detection in Dynamic Environments . Journal of Computational Analysis and Applications (JoCAAA), 33(4), 984–993. Retrieved from https://www.eudoxuspress.com/index.php/pub/article/view/4386