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Biomimetics
Special Issues
Biomimetics in Intelligent Sensor
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Biomimetics in Intelligent Sensor

A special issue of Biomimetics (ISSN 2313-7673). This special issue belongs to the section "Bioinspired Sensorics, Information Processing and Control".

Deadline for manuscript submissions: 30 June 2024 | Viewed by 797

Special Issue Editors

Dr. Qian Wang

E-Mail Website
Guest Editor
Jiangsu Provincial Key Laboratory of Advanced Robotics, Soochow University, Suzhou 215021, China
Interests: bionic intelligent sensing; bio-inspired sensors; mechanical bionic
Dr. Daobing Chen

E-Mail Website
Guest Editor
The Institute of Technological Science, Wuhan University, South Donghu Road 8, Wuhan 430072, China
Interests: bio-inspired sensor-actuator; biomimetic self-sensing; bionic intelligent device; bionic sensor manufacturing

Special Issue Information

Dear Colleagues,

With the rapid advancement of technology, the integration of biomimetics and intelligent sensors is opening up rich possibilities for innovative research and technological applications. This Special Issue aims to delve into the application of biomimetics in the field of intelligent sensors, providing an exchange platform for researchers in academia and industry to collaboratively drive progress in this domain.

Bio-sensing technology, as a crucial component of biomimetics, offers new perspectives for the design and enhancement of intelligent sensors via simulation and the application of sensing mechanisms found in biological systems. One point of emphasis for this Special Issue is biomimetic sensor design, involving the creation of various sensor structures and principles inspired by nature to enhance adaptability and sensitivity to environmental changes.

In the realm of smart materials application, this SI seeks inspiration from natural materials to achieve more efficient and flexible sensor performance. The introduction of bio-inspired algorithms provides a means of optimizing the design of intelligent sensors by simulating mechanisms such as evolution and genetics from biological systems, enabling adaptive performance optimization.

Biosignal processing stands out as a key technology in this field, involving the conversion of biological signals into information with use for sensor systems. Simultaneously, research on sensor networks and biosensing is a focal point, aiming to enable the collaborative intelligent sensor research across various domains and broader applications.

This Issue will not only emphasize fundamental theoretical research but also intends to promote the practical application of intelligent sensors. In fields such as agriculture, healthcare, and environmental monitoring, the introduction of intelligent sensors offers novel approaches to the monitoring, analysis, and investigation problems. By exploring the application of intelligent sensors in different domains, this Issue aims to provide valuable  insights for researchers in related fields.

This Special Issue invites researchers and thinkers to actively participate in this field by submitting original research papers, sharing the latest achievements and breakthroughs related to biomimetics in intelligent sensors. We hope to stimulate greater reflection and innovation in the intersection of biomimetics and intelligent sensor research, driving technological advancements and contributing to solving societal and environmental issues.

Dr. Qian Wang
Dr. Daobing Chen
Guest Editors

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

  • intelligent sensors
  • bio-sensing technology
  • biomimetic sensor design
  • smart materials, bio-inspired algorithms
  • biosignal processing
  • sensor networks
  • biosensing
  • applications of intelligent sensors
  • bio-sensing manufacturing

Published Papers (1 paper)

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Research

22 pages, 7381 KiB  
Article
Can Plants Perceive Human Gestures? Using AI to Track Eurythmic Human–Plant Interaction
by Alvaro Francisco Gil, Moritz Weinbeer and Peter A. Gloor
Biomimetics 2024, 9(5), 290; https://doi.org/10.3390/biomimetics9050290 - 12 May 2024
Viewed by 557
Abstract
This paper explores if plants are capable of responding to human movement by changes in their electrical signals. Toward that goal, we conducted a series of experiments, where humans over a period of 6 months were performing different types of eurythmic gestures in [...] Read more.
This paper explores if plants are capable of responding to human movement by changes in their electrical signals. Toward that goal, we conducted a series of experiments, where humans over a period of 6 months were performing different types of eurythmic gestures in the proximity of garden plants, namely salad, basil, and tomatoes. To measure plant perception, we used the plant SpikerBox, which is a device that measures changes in the voltage differentials of plants between roots and leaves. Using machine learning, we found that the voltage differentials over time of the plant predict if (a) eurythmy has been performed, and (b) which kind of eurythmy gestures has been performed. We also find that the signals are different based on the species of the plant. In other words, the perception of a salad, tomato, or basil might differ just as perception of different species of animals differ. This opens new ways of studying plant ecosystems while also paving the way to use plants as biosensors for analyzing human movement. Full article
(This article belongs to the Special Issue Biomimetics in Intelligent Sensor)
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