Real-Time Human Activity Recognition for VR Simulators with Body Area Networks
Author:
Affiliation:
1. National Chung-Shan Institute of Science and Technology,Simulator Systems Section Aeronautical System Research Division,Taichung,Taiwan
2. National Chung Hsing University Taichung,Department of Electrical Engineering,Taiwan
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10226627/10226615/10226881.pdf?arnumber=10226881
Reference6 articles.
1. By train or by car? Detecting the user's motion type through smartphone sensors data
2. A Novel Deep Neural Network Method for HAR-Based Team Training Using Body-Worn Inertial Sensors
3. Deep, convolutional, and recurrent models for human activity recognition using wearables;hammerla;Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence,2016
4. Deep convolutional neural networks on multichannel time series for human activity recognition;yang;Twenty-Fourth International Joint Conference on Artificial Intelligence,2015
Cited by 1 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 Survey of Motion Data Processing and Classification Techniques Based on Wearable Sensors;IgMin Research;2023-12-04
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