Deep transfer learning-based adaptive gesture recognition of a soft e-skin patch with reduced training data and time-Reference-Cited by-同舟云学术

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Deep transfer learning-based adaptive gesture recognition of a soft e-skin patch with reduced training data and time

Published:2023-12 Issue: Volume:363 Page:114693
ISSN:0924-4247
Container-title:Sensors and Actuators A: Physical
language:en
Short-container-title:Sensors and Actuators A: Physical

Author:

Rong Yu,Gu Guoying

Funder

National Natural Science Foundation of China

Science and Technology Commission of Shanghai Municipality

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Metals and Alloys,Surfaces, Coatings and Films,Condensed Matter Physics,Instrumentation,Electronic, Optical and Magnetic Materials

Reference35 articles.

1. Language and Gesture, Vol. 2;McNeill,2000

2. Echoflex: Hand gesture recognition using ultrasound imaging;McIntosh,2017

3. A machine learning based approach for hand gesture recognition using distinctive feature extraction;Saha,2018

4. The design of robotic wheelchair control system based on hand gesture control for the disabled;Gao,2017

5. Electronic skin: recent progress and future prospects for skin-attachable devices for health monitoring, robotics, and prosthetics;Yang;Adv. Mater.,2019

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1. EMG-Based Human Motion Analysis: A Novel Approach Using Towel Electrodes and Transfer Learning;IEEE Sensors Journal;2024-03-15

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