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Programmable and Scalable Embroidery Textile Resistive Pressure sensors for Integrated Multifunctional Smart Wearable systems

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advanced FIBER MATERIALS 2025年第2期7卷 574-586页

作者： Yang, Yiduo Chen, Yu Liu, Yang Yin, Rong North Carolina State Univ Wilson Coll Text Text Engn Chem & Sci Raleigh NC 27695 USA

Conformable and breathable textile structures are ideal for flexible wearable pressure sensors, yet challenges remain in scalable fabrication, easy integration, and programmability. This study presents a cost-effective and customizable method to create fully textile-based pressure sensors using machine embroidery, enabling seamless integration into smart wearable systems. Two sensing configurations were developed: a single-layer satin block embroidered with conductive yarn, which exhibited high piezoresistivity, fast response (35 ms), quick recovery (16 ms), and robust durability over 5000 press-and-release cycles, proven effective for monitoring activities such as plantar pressure and muscle contraction, and making it suitable for personalized health and fitness applications. The second configuration, a double-layer embroidery sensor with a conductive path and two parallel spacers anchored beneath a satin block, allows for array integration with minimal wiring, demonstrated by a 3 x 3 sensing array that, with the help of a convolutional neural network (CNN) machine learning model, accurately recognized handwritten numbers (0-9) with a 98.5% accuracy, showing its potential for user authentication and secure passcode entry. These findings underscore the potential of machine embroidery for developing scalable, integrated, and high-performance intelligent textile systems, paving the way for wearable technologies that are customizable, comfortable, and aesthetically appealing for a wide range of applications.

关键词： Smart textiles Human augmentation Health monitoring Interactive control User verification Machine learning

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Ultrasensitive Textile Strain Sensing Choker for Diverse Healthcare applications

Ultrasensitive Textile Strain Sensing Choker for Diverse Hea...

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2nd IEEE Biosensors conference (Biosensors)

作者： Yi, Wentian Tang, Chenyu xu, Muzi Occhipinti, Luigi G. Univ Cambridge Cambridge Graphene Ctr OcchipintiGrp Cambridge England

ISBN: (纸本)9798350395143;9798350395136

We designed a ultrasensitive textile-based strain sensing choker to accurately monitor the slight strain changes caused by activities such as speech and breathing at the throat. The ordered cracks, which are induced by the textile structure, endow the strain sensor with superior sensitivity and repeatability. This sensor can utilize advanced machine learning algorithms to decode signals from speech into corresponding words and sentences for integration into silent speech interface systems, or link signals from sleep to various sleep conditions like sleep apnea for integration into sleep monitoring systems.

关键词： Printed textile electronics crack-based strain sensor machine learning healthcare

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Review of Non-invasive, Wearable Biomedical sensor and Imaging IC

Review of Non-invasive, Wearable Biomedical Sensor and Imagi...

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2024 Biomedical Circuits and systems conference

作者： Jang, Jaeeun Yoo, Hoi-Jun Kwangwoon Univ Sch Semicond Syst Engn Seoul South Korea Korea Adv Inst Sci & Technol Dept Elect Engn Daejeon South Korea

ISBN: (纸本)9798350354966;9798350354959

Technological innovation in biomedical science, driven by semiconductor circuit and system engineering, has enabled faster diagnosis, continuous health monitoring, and advanced treatment approaches. Recent advances in non-invasive, wearable biosensor interfaces and imaging have significantly improved performance and reduced costs, enhancing accessibility to medical technology. These sensors, benefiting from semiconductor technology, offer convenience, low infection risk, and cost-effective solutions for medical monitoring. This paper explores the principles, challenges, and advancements in non-invasive sensor technology, including electrodes, optical elements, and Electrical Impedance Tomography (EIT). The integration of semiconductor technology in these applications is paving the way for personalized medicine and point-of-care solutions, with promising potential to improve patient care and healthcare outcomes.

关键词： Biomedical Diagnosis Electrical Impedance Tomography EIT Electrode Sensitivity Non-invasive Optical sensor Tissue Imaging Wearable

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Photoacoustic imaging plus x: a review

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JOURNAL OF BIOMEDICAL OPTICS 2024年第Sup1期29卷 S11513-S11513页

作者： Jiang, Daohuai Zhu, Luyao Tong, Shangqing Shen, Yuting Gao, Feng Gao, Fei ShanghaiTech Univ Sch Informat Sci & Technol Shanghai Peoples R China Fujian Normal Univ Coll Photon & Elect Engn Fuzhou Peoples R China Shanghai Engn Res Ctr Energy Efficient & Custom A Shanghai Peoples R China Shanghai Clin Res & Trial Ctr Shanghai Peoples R China

Significance: Photoacoustic (PA) imaging (PAI) represents an emerging modality within the realm of biomedical imaging technology. It seamlessly blends the wealth of optical contrast with the remarkable depth of penetration offered by ultrasound. These distinctive features of PAI hold tremendous potential for various applications, including early cancer detection, functional imaging, hybrid imaging, monitoring ablation therapy, and providing guidance during surgical procedures. The synergy between PAI and other cutting-edge technologies not only enhances its capabilities but also propels it toward broader clinical applicability. Aim: The integration of PAI with advanced technology for PA signal detection, signal processing, image reconstruction, hybrid imaging, and clinical applications has significantly bolstered the capabilities of PAI. This review endeavor contributes to a deeper comprehension of how the synergy between PAI and other advanced technologies can lead to improved applications. Approach: An examination of the evolving research frontiers in PAI, integrated with other advanced technologies, reveals six key categories named "PAI plus x." These categories encompass a range of topics, including but not limited to PAI plus treatment, PAI plus circuits design, PAI plus accurate positioning system, PAI plus fast scanning systems, PAI plus ultrasound sensors, PAI plus advanced laser sources, PAI plus deep learning, and PAI plus other imaging modalities. Results: After conducting a comprehensive review of the existing literature and research on PAI integrated with other technologies, various proposals have emerged to advance the development of PAI plus x. These proposals aim to enhance system hardware, improve imaging quality, and address clinical challenges effectively. Conclusions: The progression of innovative and sophisticated approaches within each category of PAI plus x is positioned to drive significant advancements in both the development of PAI technolo

关键词： photoacoustic imaging treatment circuit design ultrasound sensor laser source deep learning multimodal imaging

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2nd International conference on advanced Nanomaterials and applications, ICANA 2024

2nd International Conference on Advanced Nanomaterials and A...

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2nd International conference on advanced Nanomaterials and applications, ICANA 2024

ISBN: (纸本)9789819608270

The proceedings contain 10 papers. The special focus in this conference is on advanced Nanomaterials and applications. The topics include: GO/ZnO—Intensified Hybrid Nanomaterial as an Electrochemical sensor for Formaldehyde Detection in Environmental applications;synthesis of 4-Substituted 2,2′;6′,2″-Terpyridine Copper Complexes and Study of Their Anti-cancer Activities;synthesis of Cobalt Complexes and Study of Their Catalytic Activities in Various Organic Transformations;Recent Developments in Doped TMO and TMO-Based Composites for Energy Harvesting and Pollutant Removal systems;recent Progress in Multiferroics and Its Composites;dilute Magnetic Semiconductors and Its applications—An Overview;study of Melting Phenomenon of a Palladium Nanocluster Using Molecular Dynamics Simulations.

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SEC-MAC: A Secure Wireless sensor Network Based on Cooperative Communication

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INTERNATIONAL JOURNAL OF advanced COMPUTER SCIENCE AND applications 2025年第1期16卷 79-87页

作者： Khairat, Yassmin Diab, Tamer O. Fawzy, Ahmed Osama, Samah Mahmoud, Abd El- Hady Elect Res Inst ERI Informat Res Dept Cairo Egypt Benha Univ Fac Engn Elect Engn Dept Banha Egypt Elect Res Inst ERI Nanotechnol Lab Cairo Egypt

Wireless sensor Networks (WSNs) are essential for a wide range of applications, from environmental monitoring to security systems. However, challenges such as energy efficiency, throughput, and packet delivery delay need to be addressed to enhance network performance. This paper introduces a novel Medium Access Control (MAC) protocol that utilizes cooperative communication strategies to improve these critical metrics. The proposed protocol enables source nodes to leverage intermediate nodes as relays, facilitating efficient data transmission to the access point. By employing a cross-layer approach, the protocol optimizes the selection of relay nodes based on factors like transmission time and residual energy, ensuring optimal end-to- end paths. The protocol's performance is rigorously evaluated using a simulation environment, demonstrating significant improvements over existing methods. Specifically, the protocol enhances throughput by 12%, boosts energy efficiency by 50%, and reduces average packet delivery delay by approximately 48% than IEEE 802.11b. These results indicate that the protocol not only extends the lifespan of sensor nodes by conserving energy but also improves the overall reliability and efficiency of the WSN, making it a robust solution for modern wireless sensor networks. Security in Wireless sensor Networks (WSNs) is crucial due to vulnerabilities like eavesdropping, data tampering, and denial of service attacks. Our proposed MAC protocol addresses these challenges by incorporating authentication techniques, such as the handshaking protocol. These measures protect data integrity, confidentiality, and availability, ensuring reliable and secure data transmission across the network. This approach enhances the resilience of WSNs, making them more secure and trustworthy for critical applications such as healthcare and security monitoring.

关键词： Wireless sensor Networks (WSNs) energy efficiency Media Access Control (MAC) cooperative communication handshaking algorithm

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Elderly monitoring system based on multi-sensor information fusion 14

Elderly monitoring system based on multi-sensor information ...

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advanced sensor systems and applications xIV 2024

作者： Chen, Yajiang Chen, Shuwang Ma, Yifei School of Information Science and Engineering Hebei University of Science and Technology 26 Yuxiang Street Yuhua District Hebei Province Shijiazhuang City050018 China

ISBN: (纸本)9781510682146

Traditional monitoring systems for older adults typically rely on a single type of sensor, resulting in limited data sources that limit the comprehensiveness and diversity of monitoring. This limitation makes it difficult for the system to effectively and comprehensively identify complex abnormal behaviors, thus failing to provide sufficient data support for decision-making. To address this problem, this study proposes a multi-sensor information fusion-based monitoring system for the elderly. The system employs an advanced fusion algorithm to fuse data from visible, infrared and other sensors. To further improve the accuracy and coverage of the system monitoring, this study introduces a fusion genetic wolf pack algorithm to optimize the sensor layout and ensure the optimal configuration of sensors in the monitoring environment. By combining multi-sensor information fusion with optimal layout, the system not only monitors the multidimensional living environment and physiological state of the elderly more accurately, and provides comprehensive and accurate monitoring of the elderly's daily activities and health status, but also provides a solid data base for the detection and processing of abnormal behaviors. © 2024 SPIE.

关键词： Information fusion

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Narrow Space Warning and Slope Control System compatible with ADAS 31

Narrow Space Warning and Slope Control System compatible wit...

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31st IEEE conference on Signal Processing and Communications applications (SIU)

作者： Toy, Ibrahim Yusefi, Abdullah Durdu, Akif Konya Tech Univ Res & Dev Dept Elect & Elect Engn MPG Machinery Prod Grp Inc CoRAC LAB Konya Turkiye

ISBN: (纸本)9798350343557

The number of studies on autonomous vehicle systems is increasing day by day. Autonomous vehicles can perform various tasks without human intervention. However, in the environment where these tasks are performed, there are locations that can pose a danger in terms of width and height. These locations are generally referred to as narrow spaces. The autonomous vehicle must detect these narrow spaces from the front with the sensors on the vehicle to minimize the accident rate. In this study, a narrow space detection algorithm is created by including width detection, height detection, positive and negative obstacle detection in autonomous vehicle algorithms. LiDAR sensor data is utilized in the conducted studies, utilizing a 16-layered, 100-meter range product manufactured by Velodyne. When the width and height measurements obtained from the sensor data did not match the vehicle dimensions, the user is informed. This notification is conveyed to the user as a visual warning message on an interface. In addition, the incline of the hills that the vehicle cannot climb (positive obstacle) and the cliffs that it cannot descend (negative obstacle) were determined by measuring the slope. According to the results of the study, the average error rate is calculated as 2.7% for width measurements, 1.84% for height measurements, and 2.22% for slope measurements for positive and negative obstacle detection. The outputs of this study can also be included in advanced driver assistance systems (ADAS).

关键词： advanced Driver Assistance systems Narrow space detection algorithm Autonomous vehicle LiDAR Negative obstacle Positive obstacle

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Highly Effective PCF sensor for Ensuring Edible Oil Safety and Quality Within the THz Regime

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IET WIRELESS sensor systems 2025年第1期15卷

作者： Kundu, Diponkar Hossain, Mir Sabbir Bani, Most. Momtahina Ferdous, A. H. M. Iftekharul Noor, Khalid Sifulla Rani, Laxmi Islam, Md. Safiul Pabna Univ Sci & Technol Dept Elect & Elect Engn Pabna Bangladesh

This research presents a novel square hollow-core photonic crystal fibre (PCF) sensor designed for the detection of food-grade oils in the terahertz (THz) frequency range. The sensor's effectiveness is quantitatively evaluated using COMSOL Multiphysics, a sophisticated simulation tool that employs finite element methodology (FEM) to model complex interactions within the fibre structure. Simulation outcomes reveal that, under optimal geometric parameters, the proposed sensor achieves an exceptional relative sensitivity of 98.27% for various edible oils at an ideal frequency of 2.2 THz, significantly outperforming existing technologies. Additionally, the sensor exhibits minimal confinement loss of 1.428 x 10-8 dB/m and a low effective material loss of 0.004246 cm-1, facilitating accurate detection of slight refractive index variations related to the chemical compositions of different oils. This high sensitivity enables non-destructive testing, allowing for the analysis of oils without compromising their composition or quality, thereby maintaining the integrity of food products. Ultimately, the proposed PCF sensor enhances food safety monitoring and paves the way for advanced applications in the food industry, ensuring consumers receive high-quality products.

关键词： confinement loss (CL) effective material loss (EML) hollow-core (HC) numerical aperture (NA) relative sensitivity (RS)

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DevOps Value Flows In Software-Intensive System of systems 50

DevOps Value Flows In Software-Intensive System of Systems

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50th Euromicro conference on Software Engineering and advanced applications

作者： Dakkak, Anas Daniele, Piero Bosch, Jan Olsson, Helena Holmstrom Ericsson AB Stockholm Sweden Ericsson SpA Milan Italy Chalmers Univ Technol Gothenburg Sweden Malmo Univ Malmo Sweden

ISBN: (纸本)9798350380279;9798350380262

DevOps has become a widely adopted approach in the software industry, especially among companies developing web-based applications. The main focus of DevOps is to address social and technical bottlenecks along the software flow, from the developers' code changes to delivering these changes to the production environments used by customers. However, DevOps does not consider the software flow's content, e.g., new features, bug fixes, or security patches, and the customer value of each content. In addition, DevOps assumes that a streamlined software flow leads to a continuous value flow, as customers use the new software and extract value-adding content intuitively. However, in a Software-intensive System of systems (SiSoS), customers need to understand the content of the software flow to validate, test, and adopt their operation procedures before using the new software. Thus, while DevOps has been extensively studied in the context of web-based applications, its adoption in SiSoS is a relatively unexplored area. Therefore, we conducted a case study at a multinational telecommunications provider focusing on 5G systems. Our findings reveal that DevOps has three sub-flows: legacy, feature, and solution. Each sub-flow has distinct content and customer value, requiring a unique approach to extracting it. Our findings highlight the importance of understanding the software flow's content and how each content's value can be extracted when adopting DevOps in SiSoS.

关键词： DevOps Software-Intensive systems of systems Continuous Software Engineering Intent Management

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