Compressing Multiple Sensor Signals for Distributed Sensing by Autoencoder Preprocessing-Reference-Cited by-同舟云学术

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Compressing Multiple Sensor Signals for Distributed Sensing by Autoencoder Preprocessing

Published:2023-11-23 Issue: Volume: Page:194-198
ISSN:
Container-title:2023 5th International Conference on Control and Robotics (ICCR)
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Author:

Wang Junming¹,Shu Jing¹,Li Zheng²,Yu Hongliu³,Tong Raymond Kai-Yu¹

Affiliation:

1. The Chinese University of Hong Kong,Department of Biomedical Engineering,Shatin,Hong Kong

2. The Chinese University of Hong Kong,Department of Surgery,Shatin,Hong Kong

3. Institute of Rehabilitation Engineering and Technology, University of Shanghai for Science and Technology,Shanghai,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10444765/10444743/10444858.pdf?arnumber=10444858

Reference15 articles.

1. An End-to-End Dynamic Posture Perception Method for Soft Actuators Based on Distributed Thin Flexible Porous Piezoresistive Sensors

2. Piezoresistive Elastomer-Based Composite Strain Sensors and Their Applications

3. Design and Fabrication of Soft Artificial Skin Using Embedded Microchannels and Liquid Conductors

4. Soft Robots’ Dynamic Posture Perception Using Kirigami-Inspired Flexible Sensors with Porous Structures and Long Short-Term Memory (LSTM) Neural Networks

5. An End-to-end Posture Perception Method for Soft Bending Actuators Based on Kirigami-inspired Piezoresistive Sensors

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