Measurement Sensors最新文献

Editorial article (Special Issue): Measurement, control and security of systems for smart cities 社论文章（特刊）：智慧城市系统的测量、控制与安全

Measurement Sensors Pub Date : 2026-04-01 Epub Date: 2026-01-13 DOI: 10.1016/j.measen.2026.101990

V.B. Murali Krishna , Hossein Fotouhi , Rajesh Cheruku , Abdul Wahid , Tien Anh Tran

{"title":"Editorial article (Special Issue): Measurement, control and security of systems for smart cities","authors":"V.B. Murali Krishna , Hossein Fotouhi , Rajesh Cheruku , Abdul Wahid , Tien Anh Tran","doi":"10.1016/j.measen.2026.101990","DOIUrl":"10.1016/j.measen.2026.101990","url":null,"abstract":"<div><div>The transition to truly smart cities demands more than layered technologies; it requires convergent intelligence that unifies physical sensing, adaptive control, and ethical security. This editorial paper brief about the special issue entitled “<em>Measurement, Control and Security of Systems for Smart Cities</em>”. As smart cities are among the most active research areas, the call for papers for this special issue, “VSI: Systems for Smart Cities” attracted a wide range of manuscripts spanning multiple disciplines, including Computer Science, Electrical and Electronics Engineering, Communication Engineering, Civil Engineering, Mechanical Engineering, Urban Construction, Artificial Intelligence and Machine Learning, Cybersecurity, and Renewable Energy etc. Notably, authors from 16 different countries, including Algeria, Chile, China, Egypt, England, Ethiopia, India, Iran, Jordan, Kosovo, Nigeria, Portugal, Saudi Arabia and United Arab Emirates have contributed their research articles. In this editorial, we synthesize insights from all 30 published articles to present a holistic vision of next-generation urban ecosystems. Together, these works span renewable energy, structural health, healthcare, transportation, noise pollution, public space, and data security, these works collectively redefine what it means to build intelligent infrastructure that is sustainable, equitable, resilient, and trustworthy. We organize these advances around three interwoven pillars: (1) Measurement for Awareness, (2) Control for Adaptation, and (3) Security and Ethics for Trust-and demonstrate how fractional-order controllers, lightweight crack detectors, edge-based triage systems, multimodal transport models, and secure data-mining frameworks all contribute to a human-centered urban future. This synthesis serves as both a technical roadmap and a philosophical compass for the responsible evolution of smart cities.</div></div>","PeriodicalId":34311,"journal":{"name":"Measurement Sensors","volume":"44 ","pages":"Article 101990"},"PeriodicalIF":0.0,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145963430","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Heterogeneous models with synergistic feature fusion for real-time apple recognition in robust apple harvesting robotics 基于协同特征融合的异构模型鲁棒苹果收获机器人实时苹果识别

Measurement Sensors Pub Date : 2026-04-01 Epub Date: 2026-01-16 DOI: 10.1016/j.measen.2026.101991

Changdong Yin , Jun Yao , Jianfei Xu , Zhou Xu , Luanfei Wan , Qiang Liu , Dongdong Ye

{"title":"Heterogeneous models with synergistic feature fusion for real-time apple recognition in robust apple harvesting robotics","authors":"Changdong Yin , Jun Yao , Jianfei Xu , Zhou Xu , Luanfei Wan , Qiang Liu , Dongdong Ye","doi":"10.1016/j.measen.2026.101991","DOIUrl":"10.1016/j.measen.2026.101991","url":null,"abstract":"<div><div>The advancement of agricultural automation intensifies demands for highly reliable visual recognition systems in orchard harvesting robots. However, it is difficult to achieve robust fruit detection for balancing high accuracy and real-time performance under complex orchard conditions with variable illumination, occlusions, and phenotypic diversity. This study proposes a collaborative framework integrating adaptive image processing with heterogeneous model inference. The methodology begins with Lab color space conversion to ensure illumination invariance. It further utilizes dual-threshold HSV segmentation for handling both red and green apples, alongside morphological optimization with elliptical structuring elements to address occlusion. A novel architecture allocates real-time screening to an embedded Random Forest (RF) classifier and precise localization to a host-based lightweight YOLOv5 model through fused color-morphological features. Experimental results demonstrate that morphological feature enhancement consistently outperforms color-based approaches across both models. The models with dual-feature input achieves optimal performance that the RF classifier attains accuracy of 83.35 %, while lightweight YOLOv5 reaches 98.90 % accuracy. Quantitative analysis reveals dual-feature fusion with color and morphology improving all metrics by over 3 % compared to non-enhanced baselines. Notably, the observed accuracy improvement exceeded the sum of gains from individual features, confirming a synergistic effect and proving the necessity of feature fusion. This work provides a computationally viable solution for reliable apple recognition in unstructured environments.</div></div>","PeriodicalId":34311,"journal":{"name":"Measurement Sensors","volume":"44 ","pages":"Article 101991"},"PeriodicalIF":0.0,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146024912","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

An evaluation of modelling of propagation using COMSOL for a singlemode-multimode-singlemode structure 利用COMSOL对单模-多模-单模结构的传播建模进行评价

Measurement Sensors Pub Date : 2026-04-01 Epub Date: 2026-01-26 DOI: 10.1016/j.measen.2026.101992

Thomas Freir , Arun Kumar Mallik , Yuliya Semenova , Gerald Farrell

{"title":"An evaluation of modelling of propagation using COMSOL for a singlemode-multimode-singlemode structure","authors":"Thomas Freir , Arun Kumar Mallik , Yuliya Semenova , Gerald Farrell","doi":"10.1016/j.measen.2026.101992","DOIUrl":"10.1016/j.measen.2026.101992","url":null,"abstract":"<div><div>This paper presents simulation models developed for investigating singlemode-multimode-singlemode (SMS) structures, with the intention of utilising precise nano-scale 3D printing to print the center-section of the structures modelled. The models allow the design of structures for use in SMS fiber sensors, replacing the silica fiber center-section structures commonly used, with 3D printed elements. The paper discusses the process of evaluating and validating COMSOL propagation models by comparison to existing reported results and proposes the use of SMS self-imaging length and the transmission spectra as useful metrics for model comparisons. Both 2D and 3D COMSOL models are developed, and both show good agreement in calculating self-imaging length with the other referenced models. In particular, the 3D model not only simulates the self-imaging length with high accuracy, but also shows good spectral agreement with the referenced models and an analytical calculation. In addition, results from previously published work by the group are used for comparison with the 3D COMSOL model.</div></div>","PeriodicalId":34311,"journal":{"name":"Measurement Sensors","volume":"44 ","pages":"Article 101992"},"PeriodicalIF":0.0,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146079834","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

UAV-based object detection model for smart surveillance using deep neural network 基于深度神经网络的无人机智能监控目标检测模型

Measurement Sensors Pub Date : 2026-02-01 Epub Date: 2025-12-25 DOI: 10.1016/j.measen.2025.101982

Gyanendra Kumar , Sur Singh Rawat , Jyoti Gautam , Ayodeji Olalekan Salau

{"title":"UAV-based object detection model for smart surveillance using deep neural network","authors":"Gyanendra Kumar , Sur Singh Rawat , Jyoti Gautam , Ayodeji Olalekan Salau","doi":"10.1016/j.measen.2025.101982","DOIUrl":"10.1016/j.measen.2025.101982","url":null,"abstract":"<div><div>Unmanned aerial vehicles (UAVs) have become indispensable in both civilian and military domains, enabling applications such as smart surveillance, environmental monitoring, and search-and-rescue operations. However, effective object detection in UAV imagery remains challenging due to the small size of targets, high object density, frequent occlusions, and complex backgrounds resulting from varying altitudes and viewpoints. Existing algorithms, such as You Only Look Once (YOLO) v5, exhibit limited accuracy in detecting targets in UAV images. To address these challenges, this study proposes an enhanced YOLOv5-based detection model. The model incorporates an optimized detection module with three prediction heads for multi-scale bounding box predictions. Additionally, self-attention mechanisms and a Convolutional Block Attention Module (CBAM) are integrated to focus on salient regions and mitigate the impact of occlusions. Furthermore, we introduce a ConvELU layer, which replaces the default SiLU activation with the Exponential Linear Unit (ELU). This modified ConvELU layer is applied to the backbone, neck, and head components, effectively improving the model's feature extraction capabilities. Experimental results of the VisDrone dataset demonstrate that the proposed model achieves a precision of <strong>95.1 %,</strong> a recall of <strong>86.3 %,</strong> and a mean Average Precision (mAP) of <strong>91.6 %,</strong> outperforming the standard YOLOv5 and other state-of-the-art detectors.</div></div>","PeriodicalId":34311,"journal":{"name":"Measurement Sensors","volume":"43 ","pages":"Article 101982"},"PeriodicalIF":0.0,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145842002","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

SPR sensors enhanced by nanomaterials for monitoring heavy metal ions in water: A mathematical modeling 纳米材料增强的SPR传感器监测水中重金属离子：数学模型

Measurement Sensors Pub Date : 2026-02-01 Epub Date: 2025-12-12 DOI: 10.1016/j.measen.2025.101980

Talia Tene , Cristina Estefanía Ramos Araujo , Natalia Alexandra Pérez Londo , Lorenzo S. Caputi , Salvatore Straface , Cristian Vacacela Gomez

{"title":"SPR sensors enhanced by nanomaterials for monitoring heavy metal ions in water: A mathematical modeling","authors":"Talia Tene , Cristina Estefanía Ramos Araujo , Natalia Alexandra Pérez Londo , Lorenzo S. Caputi , Salvatore Straface , Cristian Vacacela Gomez","doi":"10.1016/j.measen.2025.101980","DOIUrl":"10.1016/j.measen.2025.101980","url":null,"abstract":"<div><div>Surface plasmon resonance (SPR) sensors enable label-free readout of refractive-index (RI) changes at metal–dielectric interfaces and are promising for on-site water monitoring, whereas ICP-MS/AAS lack portability. We model prism-coupled SPR using a CaF<sub>2</sub> prism and a Cu/Si<sub>3</sub>N<sub>4</sub> stack overlaid with graphene-family films at 633 nm. Four overlayers—graphene, semiconducting single-wall carbon nanotubes (s-SWCNTs), graphene oxide (GO), and reduced graphene oxide (rGO)—are compared via a transfer-matrix approach. Metrics include resonance-angle shift (Δθ), angular sensitivity (S), detection accuracy (DA), quality factor (QF), figure of merit (FoM), limit of detection (LoD), and a combined sensitivity factor (CSF) in deionized water and heavy-metal solutions. Simulations reveal a dual-regime design: rGO maximizes raw sensitivity (318.21° RIU<sup>−1</sup> for Pb<sup>2+</sup>) with LoD ≈ 1.57 × 10<sup>−5</sup> RIU, whereas GO provides the sharpest resonances (QF ≈ 195 RIU<sup>−1</sup>; DA ≈ 0.64); graphene and s-SWCNTs are intermediate. Electric-field profiles yield a penetration depth of ≈50–52 nm with the 2D layer at the field maximum. We justify the CaF<sub>2</sub>/Cu choice, map trade-offs across 2D films, and outline functionalization, scalable fabrication, stability, and miniaturization, alongside microfluidic, multi-wavelength, and AI-assisted validation toward meeting WHO/EPA guidelines.</div></div>","PeriodicalId":34311,"journal":{"name":"Measurement Sensors","volume":"43 ","pages":"Article 101980"},"PeriodicalIF":0.0,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145760654","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A review of electrical reflectometry applications: State of the art, positioning, bibliometric analysis and future directions 回顾电反射计的应用：现状、定位、文献计量分析和未来方向

Measurement Sensors Pub Date : 2026-02-01 Epub Date: 2025-12-24 DOI: 10.1016/j.measen.2025.101981

Wafa Ben Hassen, Mariem Slimani, Fabrice Auzanneau

{"title":"A review of electrical reflectometry applications: State of the art, positioning, bibliometric analysis and future directions","authors":"Wafa Ben Hassen, Mariem Slimani, Fabrice Auzanneau","doi":"10.1016/j.measen.2025.101981","DOIUrl":"10.1016/j.measen.2025.101981","url":null,"abstract":"<div><div>Electrical reflectometry is widely utilized for cable diagnosis to detect and locate both hard faults (such as open or short circuits) and soft faults (such as chafing, bending radius issues, pinching, etc.). It offers the advantage of using only one end of the cable under test to inject an electromagnetic wave and simultaneously record reflected echoes at each impedance discontinuity. Then, the analysis of these echoes makes it possible to obtain information about that discontinuity. Reflectometry is valued for its simplicity of deployment, sensitivity to electrical parameter variations in the propagation medium, and accuracy in fault location. These attributes make it a promising method in various domains such as Structural Health Monitoring (SHM), complex load monitoring, environmental monitoring, etc., especially considering that the cable used for reflectometry signal propagation can also function as a sensor. In this context, this paper aims to provide an in-depth review of potential applications of electrical reflectometry beyond cable diagnostics and compare it with other established methods (e.g., acoustic, fiber optics, etc.). A bibliometric analysis is presented in this paper, which, to the best of our knowledge, is the first of its kind in the reflectometry-related literature.</div></div>","PeriodicalId":34311,"journal":{"name":"Measurement Sensors","volume":"43 ","pages":"Article 101981"},"PeriodicalIF":0.0,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145885216","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Effect of deposition time on microstructure and optoelectronic properties of lead selenide thin films 沉积时间对硒化铅薄膜微观结构及光电性能的影响

Measurement Sensors Pub Date : 2026-02-01 Epub Date: 2026-01-05 DOI: 10.1016/j.measen.2026.101983

Yanyan Zheng , Zhibo Yang , Xiaoshui Zhang , Wei Li , Ruiqin Gu , Hongjun Ren

{"title":"Effect of deposition time on microstructure and optoelectronic properties of lead selenide thin films","authors":"Yanyan Zheng , Zhibo Yang , Xiaoshui Zhang , Wei Li , Ruiqin Gu , Hongjun Ren","doi":"10.1016/j.measen.2026.101983","DOIUrl":"10.1016/j.measen.2026.101983","url":null,"abstract":"<div><div>Lead selenide (PbSe) thin films are promising materials for mid-infrared photodetection owing to their narrow bandgap (0.2–0.4 eV), high carrier mobility, and tunable optoelectronic properties. However, current fabrication processes for PbSe detectors still face challenges in producing large-area, high-performance photosensitive films, which has hindered the commercialization of large-format, high-performance PbSe infrared imaging systems. In the chemical bath deposition (CBD) of PbSe thin films, deposition time is a critical parameter influencing film thickness, crystallinity, grain size, compactness, surface morphology, and stoichiometry. This study systematically investigates the role of deposition time in tailoring the morphology, crystallinity, and photoresponse of CBD-prepared PbSe films. Experimentally, the PbSe film deposited for 4.5 h exhibited a dark resistance of 3.078 MΩ and a photoresponse ratio of 20.4 %. In comparison, films deposited for 3 h and 5.5 h showed higher dark resistances of 7.396 MΩ and 6.84 MΩ, respectively. XRD and SEM characterization revealed a U-shaped relationship between deposition time and the optoelectronic properties of the PbSe films. Therefore, systematic optimization of deposition time is a key step toward obtaining high-performance PbSe films. This work provides valuable insights for the application of PbSe materials in infrared detection.</div></div>","PeriodicalId":34311,"journal":{"name":"Measurement Sensors","volume":"43 ","pages":"Article 101983"},"PeriodicalIF":0.0,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145978261","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Paddy leaf disease identification and K-means cluster segmentation using multi-class SVM techniques 基于多类支持向量机的水稻叶片病害识别与K-means聚类分割

Measurement Sensors Pub Date : 2025-12-01 Epub Date: 2025-11-13 DOI: 10.1016/j.measen.2025.101979

S. Amosedinakaran , P. Anitha , R. Kannan , K. Karthikeyan , S. Suresh , A. Bhuvanesh

{"title":"Paddy leaf disease identification and K-means cluster segmentation using multi-class SVM techniques","authors":"S. Amosedinakaran , P. Anitha , R. Kannan , K. Karthikeyan , S. Suresh , A. Bhuvanesh","doi":"10.1016/j.measen.2025.101979","DOIUrl":"10.1016/j.measen.2025.101979","url":null,"abstract":"<div><div>The economy of any country is significantly dependent on agricultural yield. A major concern for all countries is facing leaf diseases in agriculture due to bacteria or infections that decrease the yield. To prevent the spreading of leaf diseases, early detection and diagnosis are essential. The plant disease detection technique has been utilized to avoid a reduction in yield percentage. Image processing-based solutions have been quite essential in practice and must be quick, automated, affordable, and precise. The multi-class support vector machine (multi-class SVM) technique has been adopted for this study. This technique extracts information from given samples and provides exceptional results that would help identify and classify the diseases in the plants. Paddy leaf has been adopted for study. This study is focuses clearly on four key components: (i) the research problem early and accurate detection of paddy leaf diseases using image processing; (ii) the methodological approach multi-class SVM classification combined with K-means++ segmentation and complementary descriptors such as color statistics, HOG, and GLCM; (iii) the results achieving an average recognition accuracy of 93 % and peak performance of 96 % with 17 % faster execution compared to traditional methods; and (iv) the practical implications demonstrating the method's potential for efficient, low-cost disease diagnosis in agricultural environments. This strategy has a lot of promise to help with early plant disease diagnosis and enhance crop management techniques. Its implementation has the potential to address a significant gap in agricultural disease management and contribute meaningfully to improving global food security.</div></div>","PeriodicalId":34311,"journal":{"name":"Measurement Sensors","volume":"42 ","pages":"Article 101979"},"PeriodicalIF":0.0,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145576245","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Parameter to minimize false alarms in Negative Pressure Wave leak detection systems 参数用于减少负压波泄漏检测系统中的误报

Measurement Sensors Pub Date : 2025-12-01 Epub Date: 2025-09-29 DOI: 10.1016/j.measen.2025.101972

Ramiro Armengolt Núñez , Ebelia Del Angel Meraz , Juana Canul-Reich , Mayra Agustina Pantoja Castro , Karla María Aguilar Castro

{"title":"Parameter to minimize false alarms in Negative Pressure Wave leak detection systems","authors":"Ramiro Armengolt Núñez , Ebelia Del Angel Meraz , Juana Canul-Reich , Mayra Agustina Pantoja Castro , Karla María Aguilar Castro","doi":"10.1016/j.measen.2025.101972","DOIUrl":"10.1016/j.measen.2025.101972","url":null,"abstract":"<div><div>The presence of leaks in pipeline systems that transport fuel or drinking water causes economic losses and environmental impact. To minimize these effects, the leak must be detected in real time. In this sense, the Negative Pressure Wave (NPW) method shows high efficiency. However, it has been reported that it emits false leak alarms, since NPWs originating outside the monitored section are detected as leaks. Therefore, in this work, the behavior of NPWs originating inside and outside a pipeline section monitored by two pressure sensors was evaluated, to find a parameter that allows them to be differentiated. To do this, NPWs were generated, with known origin points with respect to the location of the sensors. When generating the NPWs, it was observed that the Delay Time (DT) to be detected by both sensors is maximum when the NPWs are generated outside the monitored section and minimum when the NPWs are generated at 50 % of the length between the sensors. Therefore, it is concluded that by quantifying the Tr parameter of the NPWs in the sensors, leaks generated outside the monitored section can be discriminated, reducing false alarms.</div></div>","PeriodicalId":34311,"journal":{"name":"Measurement Sensors","volume":"42 ","pages":"Article 101972"},"PeriodicalIF":0.0,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145189960","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Suitability and limitations of clothing pressure measuring techniques as applied to design of undergarments: A systematic review 应用于内衣设计的服装压力测量技术的适宜性和局限性：系统回顾

Measurement Sensors Pub Date : 2025-12-01 Epub Date: 2025-10-25 DOI: 10.1016/j.measen.2025.101976

D.W.D. Ruwini Chathurangi, Ujithe S.W. Gunasekera, Ranga P. Abeysooriya

{"title":"Suitability and limitations of clothing pressure measuring techniques as applied to design of undergarments: A systematic review","authors":"D.W.D. Ruwini Chathurangi, Ujithe S.W. Gunasekera, Ranga P. Abeysooriya","doi":"10.1016/j.measen.2025.101976","DOIUrl":"10.1016/j.measen.2025.101976","url":null,"abstract":"<div><div>This paper presents a Systematic Literature Review (SLR) on clothing pressure (CP) measuring systems, emphasising studies related to underwear. CP is a key element contributing to fit comfort and has drawn attention from researchers in fit optimization of close-fit garments. As key contributions, the study explores four essential aspects: a typology for CP measurement techniques, the evolution of CP measurement, the challenges associated with measuring CP, and the criteria for choosing a CP measurement mechanism (i.e. clothing pressure sensors for a specific smart textile application. The authors further discuss the opportunities for improvements in existing CP measuring mechanisms, highlighting future avenues in the study area. Furthermore, to the best of the authors' knowledge, the study is unique in terms of systematically reviewing the theme of CP measuring of undergarments. This SLR disseminates comprehensive knowledge on CP, which is beneficial for academics to stimulate further scholarly research in future and industrialists to implement more objective and cost-effective approaches in enhancing the fit comfort of underwear. Knowledge contribution from this review is expected to promote the health of garment consumers through increasing the availability of comfort-fit underwear.</div></div>","PeriodicalId":34311,"journal":{"name":"Measurement Sensors","volume":"42 ","pages":"Article 101976"},"PeriodicalIF":0.0,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145525730","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0