VersaTL: Versatile Transfer Learning for IMU-based Activity Recognition using Convolutional Neural Networks

Author:

Abdu-Aguye Mubarak1,Gomaa Walid2

Affiliation:

1. Computer Science and Engineering Department, Egypt-Japan University of Science and Technology and Egypt, --- Select a Country ---

2. Computer Science and Engineering Department, Egypt-Japan University of Science and Technology, Egypt, Faculty of Engineering, Alexandria University and Egypt, --- Select a Country ---

Publisher

SCITEPRESS - Science and Technology Publications

Cited by 10 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 perspective on human activity recognition from inertial motion data;Neural Computing and Applications;2023-07-31

2. DANA;Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies;2021-09-09

3. Wearables-based multi-task gait and activity segmentation using recurrent neural networks;Neurocomputing;2021-04

4. The Importance of Models in Data Analysis with Small Human Movement Datasets: Inspirations from Neurorobotics Applied to Posture Control of Humanoids and Humans;Proceedings of the 10th International Conference on Pattern Recognition Applications and Methods;2021

5. Deep Learning based Model Identification System Exploits the Modular Structure of a Bio-inspired Posture Control Model for Humans and Humanoids;Proceedings of the 10th International Conference on Pattern Recognition Applications and Methods;2021

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