Depth-based human activity recognition: A comparative perspective study on feature extraction-Reference-Cited by-同舟云学术

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Depth-based human activity recognition: A comparative perspective study on feature extraction

Published:2018-06 Issue:1 Volume:3 Page:51-67
ISSN:2314-7288
Container-title:Future Computing and Informatics Journal
language:en
Short-container-title:Future Computing and Informatics Journal

Author:

Ali Heba Hamdy^ORCID,Moftah Hossam M.,Youssif Aliaa A.A.

Cited by 35 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. Biosensor-Based Multimodal Deep Human Locomotion Decoding via Internet of Healthcare Things;Micromachines;2023-12-03

2. Open Datasets in Human Activity Recognition Research—Issues and Challenges: A Review;IEEE Sensors Journal;2023-11-15

3. INFORMATION TECHNOLOGY FOR REAL-TIME MONITORING AND VISUALIZATION OF LOAD IN URBAN PUBLIC OPEN SPACES BASED ON SPATIAL AND STATISTICAL DATA ANALYSES OF HUMAN BEHAVIOUR;SGEM International Multidisciplinary Scientific GeoConference� EXPO Proceedings;2023-10-01

4. Real-Time Activity Recognition for Surveillance Applications on Edge Devices;Proceedings of the 16th International Conference on PErvasive Technologies Related to Assistive Environments;2023-07-05

5. BSDGAN: Balancing Sensor Data Generative Adversarial Networks for Human Activity Recognition;2023 International Joint Conference on Neural Networks (IJCNN);2023-06-18

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