Citation Export
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Lee, Jingoo | - |
dc.contributor.author | Kim, Taewi | - |
dc.contributor.author | Kim, Hyeongseok | - |
dc.contributor.author | Im, Sunghoon | - |
dc.contributor.author | Park, Jieun | - |
dc.contributor.author | Park, Inyong | - |
dc.contributor.author | Park, Dae Hoon | - |
dc.contributor.author | Han, Bangwoo | - |
dc.contributor.author | Kang, Daeshik | - |
dc.contributor.author | Lee, Gunhee | - |
dc.date.issued | 2024-01-01 | - |
dc.identifier.issn | 2640-4567 | - |
dc.identifier.uri | https://dspace.ajou.ac.kr/dev/handle/2018.oak/34510 | - |
dc.description.abstract | Wearable strain sensors have transformed the real-time monitoring of health conditions and human–machine interactions. However, recently developed wearable strain sensors exhibit several limitations. For example, when a sensor is designed with high sensitivity to detect strain, it struggles to accurately measuring the deformation of low-stiffness materials like skin. Additionally, finding the optimal balance between sensitivity, durability, hysteresis, and strain range in sensor design is challenging. To address these challenges, a Buckled, Ultrasoft, Crack-based, Large strain, EpiDermal (BUCKLED) sensor is developed. This sensor integrates the benefits of soft structure engineering with high sensitivity of crack-based sensing mechanisms to ensure optimal skin deformation measurements. The BUCKLED sensor exhibits significant improvements in compliance (18 500 mm N−1), stretchability (100%), hysteresis (2%), durability (10 000 cycles with 100% strain), and force sensitivity ((Formula presented.)) owing to its buckled shape, confirming its ability to detect subtle movements with enhanced accuracy. The sensor's high compliance allows it to accurately measure low-stiffness objects, ensuring reliable performance. Furthermore, the sensor's tunability is demonstrating its effectiveness in applications such as respiratory monitoring, facial expression recognition, and silent speech interfaces. Consequently, the proposed sensor is versatile and holds great potential for a wide range of sensing applications. | - |
dc.description.sponsorship | This research was supported by a grant of the Basic Research Program funded by the Korea Institute of Machinery and Materials (grant no.: NK249A). | - |
dc.language.iso | eng | - |
dc.publisher | John Wiley and Sons Inc | - |
dc.subject.mesh | Crack-based sensor | - |
dc.subject.mesh | Flexible sensor | - |
dc.subject.mesh | Health condition | - |
dc.subject.mesh | High sensitivity | - |
dc.subject.mesh | High-sensitivity sensor | - |
dc.subject.mesh | Human Machine Interface | - |
dc.subject.mesh | Real time monitoring | - |
dc.subject.mesh | Soft sensors | - |
dc.subject.mesh | Strain sensors | - |
dc.subject.mesh | Ultrasensitive | - |
dc.title | Ultrasensitive Ultrasoft Buckled Crack-Based Sensor for Respiration Measurement and Enhanced Human–Machine Interface | - |
dc.type | Article | - |
dc.citation.title | Advanced Intelligent Systems | - |
dc.identifier.bibliographicCitation | Advanced Intelligent Systems | - |
dc.identifier.doi | 10.1002/aisy.202400624 | - |
dc.identifier.scopusid | 2-s2.0-85206140086 | - |
dc.identifier.url | https://onlinelibrary.wiley.com/journal/26404567 | - |
dc.subject.keyword | crack-based sensors | - |
dc.subject.keyword | flexible sensors | - |
dc.subject.keyword | high-sensitivity sensors | - |
dc.subject.keyword | soft sensors | - |
dc.subject.keyword | strain sensors | - |
dc.description.isoa | true | - |
dc.subject.subarea | Artificial Intelligence | - |
dc.subject.subarea | Computer Vision and Pattern Recognition | - |
dc.subject.subarea | Human-Computer Interaction | - |
dc.subject.subarea | Mechanical Engineering | - |
dc.subject.subarea | Control and Systems Engineering | - |
dc.subject.subarea | Electrical and Electronic Engineering | - |
dc.subject.subarea | Materials Science (miscellaneous) | - |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.