Investigation on Human Activity Recognition using Deep Learning

Author:

Sarveshwaran Velliangiri,Joseph Iwin Thankumar,M Maravarman,P Karthikeyan

Publisher

Elsevier BV

Subject

General Engineering

Reference28 articles.

1. Deep learning algorithms for human activity recognition using mobile and wearable sensor networks: State of the art and research challenges;Nweke;Expert Syst. Appl.,2018

2. Human activity recognition with inertial sensors using a deep learning approach;Zebin,2017

3. Study on Fast Human Activity Recognition Based on Optimized Feature Selection;Xu,2017

4. Deep Learning and SVM-Based Method for Human Activity Recognition with Skeleton Data, 28th Natl;Hristov,2020

5. Leveraging CNN and Transfer Learning for Vision-based Human Activity Recognition;Deep,2019

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1. AS-APF: Encoding time series as images for human activity recognition with SK-based convolutional networks;Transactions of the Institute of Measurement and Control;2024-08-24

2. Optimizing HAR Systems: Comparative Analysis of Enhanced SVM and k-NN Classifiers;International Journal of Computational Intelligence Systems;2024-06-17

3. Human Activity Recognition using ShuffleNetV2 Model;2023 Intelligent Computing and Control for Engineering and Business Systems (ICCEBS);2023-12-14

4. An Efficient Human Activity Recognition Scheme using Hybrid Deep Learning Strategy with Intelligent Classification Principles;2023 International Conference on Innovative Computing, Intelligent Communication and Smart Electrical Systems (ICSES);2023-12-14

5. Human Activity Recognition Using Hybrid Feature Extraction and Machine Learning;2023 International Conference on Ambient Intelligence, Knowledge Informatics and Industrial Electronics (AIKIIE);2023-11-02

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