Human Action Recognition Using Deep Learning Methods on Limited Sensory Data-Reference-Cited by-同舟云学术

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Human Action Recognition Using Deep Learning Methods on Limited Sensory Data

Published:2020-03-15 Issue:6 Volume:20 Page:3101-3112
ISSN:1530-437X
Container-title:IEEE Sensors Journal
language:
Short-container-title:IEEE Sensors J.

Author:

Tufek Nilay^ORCID,Yalcin Murat^ORCID,Altintas Mucahit,Kalaoglu Fatma,Li Yi,Bahadir Senem Kursun^ORCID

Funder

H2020 Marie Skłodowska-Curie Actions

Welding of E-Textiles for Interactive Clothing (ETEXWELD) Project

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Instrumentation

Link

http://xplorestaging.ieee.org/ielx7/7361/8999750/08918509.pdf?arnumber=8918509

Cited by 65 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. DCapsNet: Deep capsule network for human activity and gait recognition with smartphone sensors;Pattern Recognition;2024-03

2. Tcn-Inception: Temporal Convolutional Network and Inception Modules for Sensor-Based Human Activity Recognition;2024

3. Data augmentation for inertial sensor based human action recognition using deep learning;PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON RESEARCH ADVANCES IN ENGINEERING AND TECHNOLOGY - ITechCET 2022;2024

4. “AI FIT” Virtual Gym With Real-Time Exercise Form Detection;2023 International Conference on Advanced Computing Technologies and Applications (ICACTA);2023-10-06

5. An Adaptive Batch Size-Based-CNN-LSTM Framework for Human Activity Recognition in Uncontrolled Environment;IEEE Transactions on Industrial Informatics;2023-10

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