Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
3.5
3.4
Journals
Biomimetics
Special Issues
Bio-Inspired Flexible Sensors
share announcement

Bio-Inspired Flexible Sensors

A special issue of Biomimetics (ISSN 2313-7673).

Deadline for manuscript submissions: 20 July 2025 | Viewed by 819

Special Issue Editor

Dr. Dapeng Wei

E-Mail Website
Guest Editor
Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing 400714, China
Interests: flexible electronic materials and devices; skin-inspired sensors; carbon-based sensors; artificial muscle
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

As a new interdisciplinary research field, biomimetic flexible sensors have high attention, opening up rich possibilities for innovative research and technological applications. This SI aims to provide an academic exchange platform for scholars to deeply explore the innovative theories and applications in the field of flexible sensors and jointly promote the progress of this field.

In recent years, flexible sensors have become an important field of electronics. To meet the requirements of specific application scenarios, flexible sensors must have high sensitivity, high stability, fast response time, and long working life. So far, researchers have adopted various methods to improve the comprehensive performance of flexible sensors, including the synthesis of functional sensitive materials and the fabrication of novel microstructures. However, these methods are usually based on cumbersome processing techniques and complex chemical synthesis methods. Bionics is one of the important concepts and methods in scientific and technological research. In nature, after millions of years of evolution, various organisms can adapt to their living environment through unique shapes, structures and functions. Therefore, by learning from nature, imitating and innovating the structures in the biological world, it can provide rich ideas and methods for the design of novel physical and chemical sensors.

The purpose of the SI is to collect and compile the development in biomimetic flexible sensor technology and explore its potential applications in emerging fields such as human–computer interaction, intelligent robots, artificial intelligence, wearable devices, and medical monitoring. The SI will help researchers understand flexible sensors with biomimetic properties and inspire more innovation in this field, driving technological progress and contributing to social progress. We invite researchers to participate in this field and submit their latest research results.

Topics of interest include (but are not limited to) the following:

Flexible perception;

Electronic skin;

Artificial muscle;

Wearable devices;

Flexible robots;

Medical health monitoring.

Dr. Dapeng Wei
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Biomimetics is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2200 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • bio-inspiration
  • biomimetics flexible sensors
  • flexible sensitive material
  • intelligent control

Benefits of Publishing in a Special Issue

  • Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
  • Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
  • Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
  • External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
  • Reprint: MDPI Books provides the opportunity to republish successful Special Issues in book format, both online and in print.

Further information on MDPI's Special Issue policies can be found here.

Published Papers (2 papers)

Download All Papers
Order results
Result details
Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:

Research

27 pages, 4607 KiB  
Article
Energy-Efficient Fall-Detection System Using LoRa and Hybrid Algorithms
by Manny Villa and Eduardo Casilari
Biomimetics 2025, 10(5), 313; https://doi.org/10.3390/biomimetics10050313 - 12 May 2025
Viewed by 260
Abstract
Wearable fall-detection systems have received significant research attention during the last years. Fall detection in wearable devices presents key challenges, particularly in balancing high precision with low power consumption—both of which are essential for the continuous monitoring of older adults and individuals with [...] Read more.
Wearable fall-detection systems have received significant research attention during the last years. Fall detection in wearable devices presents key challenges, particularly in balancing high precision with low power consumption—both of which are essential for the continuous monitoring of older adults and individuals with reduced mobility. This study introduces a hybrid system that integrates a threshold-based model for preliminary detection with a deep learning-based approach that combines a CNN (Convolutional Neural Network) for spatial feature extraction with a LSTM (Long Short-Term Memory) model for temporal pattern recognition, aimed at improving classification accuracy. LoRa technology enables long-range, energy-efficient communication, ensuring real-time monitoring across diverse environments. The wearable device operates in ultra-low-power mode, capturing acceleration data at 20 Hz and transmitting a 4-s window when a predefined threshold in the acceleration magnitude is exceeded. The CNN-LSTM classifier refines event identification, significantly reducing false positives. This design extends operational autonomy to 178 h of continuous monitoring. The experimental and systematic evaluation of the prototype achieved a 96.67% detection rate (sensitivity) for simulated falls and a 100% specificity in classifying conventional Activities of Daily Living as non-falls. These results establish the system as a robust and scalable solution, effectively addressing limitations in power efficiency, connectivity, and detection accuracy while enhancing user safety and quality of life. Full article
(This article belongs to the Special Issue Bio-Inspired Flexible Sensors)
►▼ Show Figures

Figure 1

14 pages, 5866 KiB  
Article
Core-Sheath Structured Yarn for Biomechanical Sensing in Health Monitoring
by Wenjing Fan, Cheng Li, Bingping Yu, Te Liang, Junrui Li, Dapeng Wei and Keyu Meng
Biomimetics 2025, 10(5), 304; https://doi.org/10.3390/biomimetics10050304 - 9 May 2025
Viewed by 367
Abstract
The rapidly evolving field of functional yarns has garnered substantial research attention due to their exceptional potential in enabling next-generation electronic textiles for wearable health monitoring, human–machine interfaces, and soft robotics. Despite notable advancements, the development of yarn-based strain sensors that simultaneously achieve [...] Read more.
The rapidly evolving field of functional yarns has garnered substantial research attention due to their exceptional potential in enabling next-generation electronic textiles for wearable health monitoring, human–machine interfaces, and soft robotics. Despite notable advancements, the development of yarn-based strain sensors that simultaneously achieve high flexibility, stretchability, superior comfort, extended operational stability, and exceptional electrical performance remains a critical challenge, hindered by material limitations and structural design constraints. Here, we present a bioinspired, hierarchically structured core-sheath yarn sensor (CSSYS) engineered through an efficient dip-coating process, which synergistically integrates the two-dimensional conductive MXene nanosheets and one-dimensional silver nanowires (AgNWs). Furthermore, the sensor is encapsulated using a yarn-based protective layer, which not only preserves its inherent flexibility and wearability but also effectively mitigates oxidative degradation of the sensitive materials, thereby significantly enhancing long-term durability. Drawing inspiration from the natural architecture of plant stems—where the inner core provides structural integrity while a flexible outer sheath ensures adaptive protection—the CSSYS exhibits outstanding mechanical and electrical performance, including an ultralow strain detection limit (0.05%), an ultrahigh gauge factor (up to 744.45), rapid response kinetics (80 ms), a broad sensing range (0–230% strain), and exceptional cyclic stability (>20,000 cycles). These remarkable characteristics enable the CSSYS to precisely capture a broad spectrum of physiological signals, ranging from subtle arterial pulsations and respiratory rhythms to large-scale joint movements, demonstrating its immense potential for next-generation wearable health monitoring systems. Full article
(This article belongs to the Special Issue Bio-Inspired Flexible Sensors)
►▼ Show Figures

Graphical abstract

Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:
 
Displaying articles 1-2
Back to TopTop