A Novel Procedure for Recognising Human Activity Using Machine Learning
Author:
Affiliation:
1. Graphic Era Deemed to be University,Department of Computer Science and Engineering,Dehradun,India
2. Graphic Era Deemed to be University,Department of Computer Application,Dehradun,India
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10275782/10275807/10276061.pdf?arnumber=10276061
Reference18 articles.
1. A Lightweight and Accurate RNN in Wearable Embedded Systems for Human Activity Recognition
2. Deep Learning Models for Real-time Human Activity Recognition with Smartphones
3. Gated RNN: The Long Short-Term Memory (LSTM) RNN
4. Analysis of Gradient Vanishing of RNNs and Performance Comparison
5. A robust human activity recognition system using smartphone sensors and deep learning
Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. A Robust Model of Human Activity Recognition using Independent Component Analysis and XGBoost;2024 5th International Conference on Advancements in Computational Sciences (ICACS);2024-02-19
2. Human Action Recognition Based on Embedded HMM;2024 5th International Conference on Advancements in Computational Sciences (ICACS);2024-02-19
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