Next Article in Journal
GDM-DTM: A Group Decision-Making-Enabled Dynamic Trust Management Method for Malicious Node Detection in Low-Altitude UAV Networks
Previous Article in Journal
Lag-Specific Transfer Entropy for Root Cause Diagnosis and Delay Estimation in Industrial Sensor Networks
Previous Article in Special Issue
Taste Sensor Assessment of Bitterness in Medicines: Overview and Recent Topics
 
 
Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
Journals
Sensors
Volume 25
Issue 13
10.3390/s25133981
sensors-logo
Submit to this Journal Review for this Journal Propose a Special Issue
► Article Menu

Article Menu

share Share announcement Help format_quote Cite question_answer Discuss in SciProfiles
first_page
settings
Order Article Reprints
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
This is an early access version, the complete PDF, HTML, and XML versions will be available soon.
Review

Bionic Sensors for Biometric Acquisition and Monitoring: Challenges and Opportunities

by
Haoran Yu
1,†,
Mingqi Ma
1,†,
Baishun Zhang
1,
Anxin Wang
1,
Gaowei Zhong
1,
Ziyuan Zhou
1,
Chengxin Liu
1,
Chunqing Li
1,
Jingjing Fang
1,
Yanbo He
1,
Donghai Ren
2,
Feifei Deng
1,
Qi Hong
1,
Yunong Zhao
1,3,* and
Xiaohui Guo
1
1
School of Integrated Circuits, Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education, Anhui University, Hefei 230601, China
2
Huaibei Zhongtai Electromechanical Engineering Co. Ltd., Huaibei 235047, China
3
Huadong Photo-Electron IC Institute, Bengbu 233030, China
*
Author to whom correspondence should be addressed.
†
These authors contributed equally to this work.
Sensors 2025, 25(13), 3981; https://doi.org/10.3390/s25133981
Submission received: 27 May 2025 / Revised: 19 June 2025 / Accepted: 23 June 2025 / Published: 26 June 2025
(This article belongs to the Special Issue Nature Inspired Engineering: Biomimetic Sensors)
Versions Notes

Abstract

The development of materials science, artificial intelligence and wearable technology has created both opportunities and challenges for the next generation of bionic sensor technology. Bionic sensors are extensively utilized in the collection and monitoring of human biological signals. Human biological signals refer to the parameters generated inside or outside the human body to transmit information. In a broad sense, they include bioelectrical signals, biomechanical information, biomolecules, and chemical molecules. This paper systematically reviews recent advances in bionic sensors in the field of biometric acquisition and monitoring, focusing on four major technical directions: bioelectric signal sensors (electrocardiograph (ECG), electroencephalograph (EEG), electromyography (EMG)), biomarker sensors (small molecules, large molecules, and complex-state biomarkers), biomechanical sensors, and multimodal integrated sensors. These breakthroughs have driven innovations in medical diagnosis, human–computer interaction, wearable devices, and other fields. This article provides an overview of the above biomimetic sensors and outlines the future development trends in this field.
Keywords: bionic sensors; bioelectric signal sensors; biomarker sensors; biomechanical sensors; multimodal integrated sensors; wearable devices bionic sensors; bioelectric signal sensors; biomarker sensors; biomechanical sensors; multimodal integrated sensors; wearable devices

Share and Cite

MDPI and ACS Style

Yu, H.; Ma, M.; Zhang, B.; Wang, A.; Zhong, G.; Zhou, Z.; Liu, C.; Li, C.; Fang, J.; He, Y.; et al. Bionic Sensors for Biometric Acquisition and Monitoring: Challenges and Opportunities. Sensors 2025, 25, 3981. https://doi.org/10.3390/s25133981

AMA Style

Yu H, Ma M, Zhang B, Wang A, Zhong G, Zhou Z, Liu C, Li C, Fang J, He Y, et al. Bionic Sensors for Biometric Acquisition and Monitoring: Challenges and Opportunities. Sensors. 2025; 25(13):3981. https://doi.org/10.3390/s25133981

Chicago/Turabian Style

Yu, Haoran, Mingqi Ma, Baishun Zhang, Anxin Wang, Gaowei Zhong, Ziyuan Zhou, Chengxin Liu, Chunqing Li, Jingjing Fang, Yanbo He, and et al. 2025. "Bionic Sensors for Biometric Acquisition and Monitoring: Challenges and Opportunities" Sensors 25, no. 13: 3981. https://doi.org/10.3390/s25133981

APA Style

Yu, H., Ma, M., Zhang, B., Wang, A., Zhong, G., Zhou, Z., Liu, C., Li, C., Fang, J., He, Y., Ren, D., Deng, F., Hong, Q., Zhao, Y., & Guo, X. (2025). Bionic Sensors for Biometric Acquisition and Monitoring: Challenges and Opportunities. Sensors, 25(13), 3981. https://doi.org/10.3390/s25133981

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop