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  5. Eardrum‐Inspired Active Sensors for Self‐Powered Cardiovascular System Characterization and Throat‐Attached Anti‐Interference Voice Recognition

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Article
en
2015

Eardrum‐Inspired Active Sensors for Self‐Powered Cardiovascular System Characterization and Throat‐Attached Anti‐Interference Voice Recognition

0 Datasets

0 Files

en
2015
Vol 27 (8)
Vol. 27
DOI: 10.1002/adma.201404794

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Zhong Lin Wang
Zhong Lin Wang

Beijing Institute of Technology

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Jin Yang
Jun Chen
Yuanjie Su
+6 more

Abstract

The first bionic membrane sensor based on triboelectrification is reported for self-powered physiological and behavioral measurements such as local internal body pressures for non-invasive human health assessment. The sensor can also be for self-powered anti-interference throat voice recording and recognition, as well as high-accuracy multimodal biometric authentication, thus potentially expanding the scope of applications in self-powered wearable medical/health monitoring, interactive input/control devices as well as accurate, reliable, and less intrusive biometric authentication systems. As a service to our authors and readers, this journal provides supporting information supplied by the authors. Such materials are peer reviewed and may be re-organized for online delivery, but are not copy-edited or typeset. Technical support issues arising from supporting information (other than missing files) should be addressed to the authors. Please note: The publisher is not responsible for the content or functionality of any supporting information supplied by the authors. Any queries (other than missing content) should be directed to the corresponding author for the article.

How to cite this publication

Jin Yang, Jun Chen, Yuanjie Su, Qingshen Jing, Zhaoling Li, Yi Fang, Xiaonan Wen, Zhaona Wang, Zhong Lin Wang (2015). Eardrum‐Inspired Active Sensors for Self‐Powered Cardiovascular System Characterization and Throat‐Attached Anti‐Interference Voice Recognition. , 27(8), DOI: https://doi.org/10.1002/adma.201404794.

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Publication Details

Type

Article

Year

2015

Authors

9

Datasets

0

Total Files

0

Language

en

DOI

https://doi.org/10.1002/adma.201404794

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