Chao Zuo - IEEE Xplore Author Profile

Scheduled Maintenance on Monday 1/13/2025

Single article sales and account management will be unavailable from 5:00 AM - 7:00 PM ET (09:00 - 23:00 UTC). We apologize for the inconvenience.

IEEE.org
IEEE Xplore
IEEE SA
IEEE Spectrum
More Sites

- Donate
- Personal Sign In

Access provided by:

MIT Libraries

Access provided by:

MIT Libraries

ADVANCED SEARCH

Author details

Chao Zuo

Publications

2

Citations

2

Publications by Year

20192021

Co-Authors:

Pan GengJiangjun RuanLiezheng TangZuoshuai WangXiangiun Wang

Show All Co-Authors (7)

Chao Zuo

Affiliation

Wuhan Second Ship Design and Research Institute, Wuhan, China

Publication Topics

Current Distribution,
Magnetic Field,
Magnetic Vector Potential,
3D Numerical Model,
Air Layer,
Axial Component,
Axial Field,
Axial Magnetic Field,
Coil Current,
Compensatory Effect,
Coupling Coefficient,
Current Effect

Biography

Chao Zuo was born in Hubei, China, in 1986. He received the Ph.D. degree in microelectronics and solid-state electronics from the Huazhong University of Science and Technology, in 2008. Since 2013, he has been working with the Wuhan Second Ship Design Institute. His research interests include electromagnetic field numerical simulation and ship degaussing. He received the title of Senior Engineer in 2015.(Based on document published on 30 March 2021).

Publications

2

Citations

2

Publications by Year

20192021

Co-Authors:

Pan Geng
Jiangjun Ruan
Liezheng Tang
Zuoshuai Wang
Xiangiun Wang

Show All Co-Authors (7)

Author's Published Works

Search History

Showing 1-7 of 7 results

Journals (4)

Conferences (2)

Early Access Articles (1)

Sort

Filter Results

Show

Subscribed Content

Open Access Only

Range
Single Year
Fangting Xie(7)
Zhen Liang(7)
Xiaohui Cai(4)
Dongquan Zhang(3)
Jingyuan Cheng(3)
University of Science and Technology of China, Hefei, China(2)
School of Computer Science and Technology, University of Science and Technology of China, Hefei, China(2)
Department of Computer Science and Technology, University of Science and Technology of China, Hefei, China(2)
University of Science and Technology of China, Huangshan Road 443, Dian 3 building, Hefei, China(1)
Ningbo Cixing Company Ltd., Ningbo, China(1)
IEEE Sensors Journal(5)
2023 IEEE International Conference on Pervasive Computing and Communications (PerCom)(1)
2024 IEEE International Conference on Systems, Man, and Cybernetics (SMC)(1)
IEEE(7)
Atlanta, GA, USA(1)
Kuching, Malaysia(1)
Pressure Distribution(6)
Knitted(3)
Pose Estimation(3)
Contrastive Loss(2)
Joint Position(2)

Select All on Page

Sort By

Results

A Scalable Textile Strain Sensor Matrix: Design, Implementation and Application Exploration

Chenhui Zhang;Zhen Liang;Fangting Xie;Xiaohui Cai

IEEE Sensors Journal

Year: 2025 | Early Access Article |

The measurement of bio-mechanical loads is important for various applications, such as healthcare, sports, and human-computer interaction. To obtain a detailed view of the bio-mechanical loads, it is necessary to monitor the strain distribution on the body surface which is perpendicular to the pressure. The current strain sensing methods lack scalability and comfort for body-scaled usage. We desig...Show More

A Scalable Textile Strain Sensor Matrix: Design, Implementation and Application Exploration

Chenhui Zhang;Zhen Liang;Fangting Xie;Xiaohui Cai

IEEE Sensors Journal

Year: 2025 | Early Access Article |

Contrastive Learning-Based User Identification with Limited Data on Smart Textiles

Yunkang Zhang;Ziyu Wu;Zhen Liang;Fangting Xie;Quan Wan;Mingjie Zhao;Xiaohui Cai

2024 IEEE International Conference on Systems, Man, and Cybernetics (SMC)

Year: 2024 | Conference Paper |

HTML

Pressure-sensitive smart textiles are widely applied in the fields of healthcare, sports monitoring, and intelligent homes. The integration of devices embedded with pressure sensing arrays is expected to enable comprehensive scene coverage and multi-device integration. However, the implementation of identity recognition, a fundamental function in this context, relies on extensive device-specific d...Show More

Contrastive Learning-Based User Identification with Limited Data on Smart Textiles

Yunkang Zhang;Ziyu Wu;Zhen Liang;Fangting Xie;Quan Wan;Mingjie Zhao;Xiaohui Cai

2024 IEEE International Conference on Systems, Man, and Cybernetics (SMC)

Year: 2024 | Conference Paper |

Learn to Infer Human Poses Using a Full-Body Pressure-Sensing Garment

Dongquan Zhang;Zhen Liang;Yuchen Wu;Fangting Xie;Guanghua Xu;Ziyu Wu;Xiaohui Cai

IEEE Sensors Journal

Year: 2024 | Volume: 24, Issue: 24 | Journal Article |

HTML

Poses are the fundamentals of human activities and there are growing applications in healthcare, fitness, and virtual reality. Despite massive advances in estimating human poses using cameras, these approaches are not suitable in open areas where people could move freely. Recent advances in wearable pressure sensing systems bring the possibility to estimate human poses in open areas in a more comf...Show More

Learn to Infer Human Poses Using a Full-Body Pressure-Sensing Garment

Dongquan Zhang;Zhen Liang;Yuchen Wu;Fangting Xie;Guanghua Xu;Ziyu Wu;Xiaohui Cai

IEEE Sensors Journal

Year: 2024 | Volume: 24, Issue: 24 | Journal Article |

A Single-Ply and Knit-Only Textile Sensing Matrix for Mapping Body Surface Pressure

Zhen Liang;Mengting Niu;Fangting Xie;Dongquan Zhang;Liyun Dai;Xiaohui Cai

IEEE Sensors Journal

Year: 2024 | Volume: 24, Issue: 16 | Journal Article |

HTML

Wearable sensing fabrics have great potential for applications such as human-computer interaction, motion monitoring, and human shape reconstruction. However, existing fabric sensors tend to sacrifice wearing comfort for sensing functionality, which restricts their application scenarios and hampers long-term usability due to poor wearability. To address this challenge, a novel fabric structure was...Show More

A Single-Ply and Knit-Only Textile Sensing Matrix for Mapping Body Surface Pressure

Zhen Liang;Mengting Niu;Fangting Xie;Dongquan Zhang;Liyun Dai;Xiaohui Cai

IEEE Sensors Journal

Year: 2024 | Volume: 24, Issue: 16 | Journal Article |

Smart Garment: A Long-Term Feasible, Whole-Body Textile Pressure-Sensing System

Zhen Liang;Dongquan Zhang;Guanghua Xu;Fangting Xie;Hui Cai;Hao Guo;Jingyuan Cheng

IEEE Sensors Journal

Year: 2023 | Volume: 23, Issue: 19 | Journal Article |

Cited by: Papers (4)

HTML

Tactile sensation is important for human beings that equips the whole-body surface. To understand what kind of force distribution our bodies might sense, we created a set of pressure-sensing garment consisting of a sweater and trousers, which provides 1952 sensing points and covers 80% of the body surface evenly. As our skin works days and nights, an ideal pressure acquisition system for such purp...Show More

Smart Garment: A Long-Term Feasible, Whole-Body Textile Pressure-Sensing System

Zhen Liang;Dongquan Zhang;Guanghua Xu;Fangting Xie;Hui Cai;Hao Guo;Jingyuan Cheng

IEEE Sensors Journal

Year: 2023 | Volume: 23, Issue: 19 | Journal Article |

MassNet: A Deep Learning Approach for Body Weight Extraction from A Single Pressure Image

Ziyu Wu;Quan Wan;Mingjie Zhao;Yi Ke;Yiran Fang;Zhen Liang;Fangting Xie;Jingyuan Cheng

2023 IEEE International Conference on Pervasive Computing and Communications (PerCom)

Year: 2023 | Conference Paper |

Cited by: Papers (6)

HTML

Body weight, as an essential physiological trait, is of considerable significance in many applications like body management, rehabilitation, and drug dosing for patient-specific treatments. Previous works on the body weight estimation task are mainly vision-based, using 2D/3D, depth, or infrared images, facing problems in illumination, occlusions, and especially privacy issues. The pressure mappin...Show More

MassNet: A Deep Learning Approach for Body Weight Extraction from A Single Pressure Image

Ziyu Wu;Quan Wan;Mingjie Zhao;Yi Ke;Yiran Fang;Zhen Liang;Fangting Xie;Jingyuan Cheng

2023 IEEE International Conference on Pervasive Computing and Communications (PerCom)

Year: 2023 | Conference Paper |

Electronic Modeling for Resistive Textile Matrices

Jingyuan Cheng;Fangting Xie;Zhen Liang

IEEE Sensors Journal

Year: 2022 | Volume: 22, Issue: 16 | Journal Article |

HTML

Textile pressure sensing has been proved to be useful for activity recognition in both wearable and ambient intelligence domains. The sensors are organized in a matrix format and their resistances are linked to the pressure asserted onto them. While there have been many works exploring its applications, the relationship between the resistance distribution and the numeric data output, has not been ...Show More

Electronic Modeling for Resistive Textile Matrices

Jingyuan Cheng;Fangting Xie;Zhen Liang

IEEE Sensors Journal

Year: 2022 | Volume: 22, Issue: 16 | Journal Article |

IEEE Personal Account

Change username/password

Purchase Details

Payment Options
View Purchased Documents

Profile Information

Communications Preferences
Profession and Education
Technical interests

Need Help?

US & Canada: +1 800 678 4333
Worldwide: +1 732 981 0060
Contact & Support

Follow

About IEEE Xplore | Contact Us | Help | Accessibility | Terms of Use | Nondiscrimination Policy | IEEE Ethics Reporting | Sitemap | IEEE Privacy Policy

A public charity, IEEE is the world's largest technical professional organization dedicated to advancing technology for the benefit of humanity.

© Copyright 2025 IEEE - All rights reserved, including rights for text and data mining and training of artificial intelligence and similar technologies.

IEEE Account

Change Username/Password
Update Address

Purchase Details

Payment Options
Order History
View Purchased Documents

Profile Information

Communications Preferences
Profession and Education
Technical Interests

Need Help?

US & Canada: +1 800 678 4333
Worldwide: +1 732 981 0060
Contact & Support

About IEEE Xplore
Contact Us
Help
Accessibility
Terms of Use
Nondiscrimination Policy
Sitemap
Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest technical professional organization dedicated to advancing technology for the benefit of humanity.
© Copyright 2025 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.

Test Whats new message.