Unobtrusive and Multimodal Wearable Sensing to Quantify Anxiety-Reference-Cited by-同舟云学术

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Unobtrusive and Multimodal Wearable Sensing to Quantify Anxiety

Published:2016-05 Issue:10 Volume:16 Page:3689-3696
ISSN:1530-437X
Container-title:IEEE Sensors Journal
language:
Short-container-title:IEEE Sensors J.

Author:

Zheng Yali,Wong Tracy C. H.,Leung Billy H. K.,Poon Carmen C. Y.^ORCID

Funder

Hong Kong Innovation and Technology Fund

Chow Yuk Ho Technology Centre for Innovative Medicine, Hong Kong

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Instrumentation

Link

http://xplorestaging.ieee.org/ielx7/7361/7450223/7428822.pdf?arnumber=7428822

Cited by 49 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Anxiety recognition method based on PLI and TD-2DPCA;Fourth International Conference on Machine Learning and Computer Application (ICMLCA 2023);2024-05-22

2. The Role of Frontal Electrodes in Human State Anxiety Detection Using Wavelet Features and Machine Learning;2024 2nd International Conference on Electrical Engineering and Automatic Control (ICEEAC);2024-05-12

3. A low-cost, wireless, 4-channel EEG measurement system used in virtual reality environments;HardwareX;2024-03

4. TI-Fusion: A Multimodal Anxiety Disorder Detection Method;2023 6th International Conference on Electrical Information and Communication Technology (EICT);2023-12-07

5. Wearable Artificial Intelligence for Detecting Anxiety: Systematic Review and Meta-Analysis;Journal of Medical Internet Research;2023-11-08

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