Multitask Learning for Multiple Recognition Tasks: A Framework for Lower-limb Exoskeleton Robot Applications-Reference-Cited by-同舟云学术

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Multitask Learning for Multiple Recognition Tasks: A Framework for Lower-limb Exoskeleton Robot Applications

Published:2023-08-28 Issue: Volume: Page:
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Container-title:2023 32nd IEEE International Conference on Robot and Human Interactive Communication (RO-MAN)
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Author:

Kim Joonhyun¹,Ha Seongmin²,Shin Dongbin³,Ham Seoyeon⁴,Jang Jaepil⁴,Kim Wansoo⁵

Affiliation:

1. Hanyang University 55, Hanyangdaehak-ro, Sangnok-gu,Department of Applied Artificial Intelligence,Ansan-si,Gyeonggi-do,Republic of Korea

2. Hanyang University,Department of Mechatronics Engineering,Republic of Korea

3. Hexar Humancare Co., Ltd,Republic of Korea

4. Hanyang University,Department of Interdisciplinary Robot Engineering Systems,Republic of Korea

5. Hanyang University ERICA,Robotics Department,Ansan-si,Gyeonggi-do,Republic of Korea

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10309296/10309265/10309384.pdf?arnumber=10309384

Reference22 articles.

1. A Survey of Convolutional Neural Networks: Analysis, Applications, and Prospects

2. Real-time walking gait terrain classification from foot-mounted inertial measurement unit using convolutional long short-term memory neural network;coelho;Expert Syst Appl,2022

3. An overview on data representation learning: From traditional feature learning to recent deep learning

4. Convolutional neural networks for histopathology image classification: Training vs. Using pre-trained networks

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