Unsupervised Cross-User Adaptation in Taste Sensation Recognition Based on Surface Electromyography-Reference-Cited by-同舟云学术

Unsupervised Cross-User Adaptation in Taste Sensation Recognition Based on Surface Electromyography

Published:2022 Issue: Volume:71 Page:1-11
ISSN:0018-9456
Container-title:IEEE Transactions on Instrumentation and Measurement
language:
Short-container-title:IEEE Trans. Instrum. Meas.

Author:

Wang Hengyang¹^ORCID,Zhan Xianghao¹^ORCID,Liu Li¹^ORCID,Ullah Asif¹^ORCID,Li Huiyan¹^ORCID,Gao Han¹^ORCID,Wang You¹^ORCID,Hu Ruifen¹^ORCID,Li Guang¹^ORCID

Affiliation:

1. State Key Laboratory of Industrial Control Technology, Institute of Cyber-Systems and Control, Zhejiang University, Hangzhou, China

Funder

Science Foundation of Chinese Aerospace Industry

Autonomous Research Project of the State Key Laboratory of Industrial Control Technology, China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Instrumentation

Link

http://xplorestaging.ieee.org/ielx7/19/9717300/09777907.pdf?arnumber=9777907

Reference35 articles.

1. Classifying herbal medicine origins by temporal and spectral data mining of electronic nose;liu;arXiv 2104 06640,2021

2. AI-based analysis of CT images for rapid triage of COVID-19 patients

3. Feature Engineering in Discrimination of Herbal Medicines from Different Geographical Origins with Electronic Nose

4. New Thermal Taste Actuation Technology for Future Multisensory Virtual Reality and Internet

5. Unsupervised Domain Adaptation in Activity Recognition: A GAN-Based Approach

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