A Hybrid Approach for Human Activity Recognition with Support Vector Machine and 1D Convolutional Neural Network-Reference-Cited by-同舟云学术

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A Hybrid Approach for Human Activity Recognition with Support Vector Machine and 1D Convolutional Neural Network

Published:2020-10-13 Issue: Volume: Page:
ISSN:
Container-title:2020 IEEE Applied Imagery Pattern Recognition Workshop (AIPR)
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Author:

Hossain Shuvo Md Maruf,Ahmed Nafis,Nouduri Koundinya,Palaniappan Kannappan

Funder

National Institute of Neurological Disorders and Stroke

U.S. Army

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9424928/9425032/09425332.pdf?arnumber=9425332

Cited by 40 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. MDEFC: Automatic recognition of human activities using modified differential evolution based fuzzy clustering method;Journal of Computational Science;2024-09

2. A Transformer-Based Approach to Human Posture Classification with 3D Skeleton Data;2024 13th International Workshop on Robot Motion and Control (RoMoCo);2024-07-02

3. Machine learning and deep learning models for human activity recognition in security and surveillance: a review;Knowledge and Information Systems;2024-06-04

4. Sensor-Based Human Activity Recognition Using a Hybrid CNN-SVM Approach;2024 8th International Conference on Image and Signal Processing and their Applications (ISPA);2024-04-21

5. A Comprehensive Survey on Deep Learning Methods in Human Activity Recognition;Machine Learning and Knowledge Extraction;2024-04-18

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