Human Activity Recognition System from Different Poses with CNN
Author:
Affiliation:
1. Green University of Bangladesh,Department of Computer Science and Engineering,Dhaka,Bangladesh
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9350314/9350319/09350508.pdf?arnumber=9350508
Cited by 5 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. An Investigation Into the Use of Deep Learning to Recognize Human Activity;Advances in Linguistics and Communication Studies;2023-09-15
2. Human Action Recognition Using Deep Learning Methods (CNN-LSTM) Without Sensors;2022 1st International Conference on Computational Science and Technology (ICCST);2022-11-09
3. Human Activity Recognition with Videos Using Deep Learning;2021 International Conference on Forensics, Analytics, Big Data, Security (FABS);2021-12-21
4. Real-Time Anomaly Detection and Classification from Surveillance Cameras Using Deep Neural Network;2021 3rd International Conference on Sustainable Technologies for Industry 4.0 (STI);2021-12-18
5. Applying Deep Learning to Track Food Consumption and Human Activity for Non-intrusive Blood Glucose Monitoring;2021 IEEE 12th Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON);2021-12-01
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