A Grid-Less Flexible Tactile Sensing System Based on Deep Neural Network for Two-Point Localization and Shape Recognition-Reference-Cited by-同舟云学术

A Grid-Less Flexible Tactile Sensing System Based on Deep Neural Network for Two-Point Localization and Shape Recognition

Published:2024-06-01 Issue:11 Volume:24 Page:18259-18266
ISSN:1530-437X
Container-title:IEEE Sensors Journal
language:
Short-container-title:IEEE Sensors J.

Author:

Gao Jiale¹^ORCID,Zhu Xiaobo²^ORCID,Fu Ziming³,Zhang Weidong²^ORCID,Sun Daying²^ORCID,Gu Wenhua⁴^ORCID

Affiliation:

1. School of Electronic and Optical Engineering, Key Laboratory of Near-Range RF Sensing ICs and Microsystems, Ministry of Education, Nanjing University of Science and Technology, Nanjing, China

2. School of Microelectronics and the School of Integrated Circuits, Nanjing University of Science and Technology, Nanjing, China

3. Artificial Intelligence, Nanyang Technological University, Jurong West, Singapore

4. School of Microelectronics and the School of Integrated Circuits, Key Laboratory of Near-Range RF Sensing ICs and Microsystems, Ministry of Education, Nanjing University of Science and Technology, Nanjing, China

Funder

National Natural Science Foundation of China

Fundamental Research Funds for the Central Universities

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/7361/10546898/10502307.pdf?arnumber=10502307

Reference16 articles.

1. A Flexible Multimodal Sole Sensor for Legged Robot Sensing Complex Ground Information during Locomotion

2. Human Motion Recognition Using E-textile Sensor and Adaptive Neuro-Fuzzy Inference System

3. Smart-Cover: A real time sitting posture monitoring system

4. Recent Advances in Carbon Material‐Based Multifunctional Sensors and Their Applications in Electronic Skin Systems