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Exploring Aesthetic Perception in Impaired Aging: A Multimodal Brain—Computer Interface Study 探索衰老过程中的审美感知：多模态脑机接口研究

Sensors (Basel, Switzerland) Pub Date : 2024-04-01 DOI: 10.3390/s24072329

L. Clemente, Marianna la Rocca, Giulia Paparella, M. Delussi, Giusy Tancredi, K. Ricci, Giuseppe Procida, Alessandro Introna, Antonio Brunetti, Paolo Taurisano, Vitoantonio Bevilacqua, M. de Tommaso

{"title":"Exploring Aesthetic Perception in Impaired Aging: A Multimodal Brain—Computer Interface Study","authors":"L. Clemente, Marianna la Rocca, Giulia Paparella, M. Delussi, Giusy Tancredi, K. Ricci, Giuseppe Procida, Alessandro Introna, Antonio Brunetti, Paolo Taurisano, Vitoantonio Bevilacqua, M. de Tommaso","doi":"10.3390/s24072329","DOIUrl":"https://doi.org/10.3390/s24072329","url":null,"abstract":"In the field of neuroscience, brain–computer interfaces (BCIs) are used to connect the human brain with external devices, providing insights into the neural mechanisms underlying cognitive processes, including aesthetic perception. Non-invasive BCIs, such as EEG and fNIRS, are critical for studying central nervous system activity and understanding how individuals with cognitive deficits process and respond to aesthetic stimuli. This study assessed twenty participants who were divided into control and impaired aging (AI) groups based on MMSE scores. EEG and fNIRS were used to measure their neurophysiological responses to aesthetic stimuli that varied in pleasantness and dynamism. Significant differences were identified between the groups in P300 amplitude and late positive potential (LPP), with controls showing greater reactivity. AI subjects showed an increase in oxyhemoglobin in response to pleasurable stimuli, suggesting hemodynamic compensation. This study highlights the effectiveness of multimodal BCIs in identifying the neural basis of aesthetic appreciation and impaired aging. Despite its limitations, such as sample size and the subjective nature of aesthetic appreciation, this research lays the groundwork for cognitive rehabilitation tailored to aesthetic perception, improving the comprehension of cognitive disorders through integrated BCI methodologies.","PeriodicalId":221960,"journal":{"name":"Sensors (Basel, Switzerland)","volume":"450 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140778835","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

Design and Preliminary Ground Experiment for Deployable Sunshade Structures of a Modular Space Telescope 模块化太空望远镜可部署遮阳结构的设计和初步地面实验

Sensors (Basel, Switzerland) Pub Date : 2024-04-01 DOI: 10.3390/s24072280

Ye Kuang, Shuaihui Wang, Yan Gao, Boqian Xu, Shuyan Xu

引用次数: 0

Multisensor Magnetic Scanning Microscope for Remanent Magnetic Field Measurements 用于残余磁场测量的多传感器磁扫描显微镜

Sensors (Basel, Switzerland) Pub Date : 2024-04-01 DOI: 10.3390/s24072294

João F. Chaves, L. F. Noris, E. Yokoyama, F. Osorio G., Leonardo A. F. Mendoza, J. F. Araujo

{"title":"Multisensor Magnetic Scanning Microscope for Remanent Magnetic Field Measurements","authors":"João F. Chaves, L. F. Noris, E. Yokoyama, F. Osorio G., Leonardo A. F. Mendoza, J. F. Araujo","doi":"10.3390/s24072294","DOIUrl":"https://doi.org/10.3390/s24072294","url":null,"abstract":"Magnetic Scanning Microscopy (MSM) emerged with the aim of allowing the visualization of magnetic fields of a sample or material through scanning and proved particularly useful for geology, biomedicine, characterization of magnetic materials, and in the steel industry. In this regard, the reading system of an MSM was modified using a μ-metal magnetic shielding structure to analyze remanent fields. The MSM was adapted to perform readings using two different types of sensors. The sensitive area of the sensors was evaluated, and the HQ-0811 (AKM—Asahi KaseiTM Microdevices) and STJ-010 (Micro MagneticsTM) sensors were chosen, with the HQ-0811 standardized on Printed Circuit Boards (PCBs) to facilitate handling and increase the system’s robustness. In the shielded chamber, two piezoelectric ANC-150 stepper motors (Attocube Systems) were used, arranged planarly, to allow the movement of the analyzed samples under the mounted sensors. To acquire data from the sensors, the Precision Current Source Model 6220 and the Nanovoltmeter Model 2182A (both from Keithley) were used, along with Keithley’s Delta-Mode integrated system. To analyze the system’s effectiveness, three distinct samples were analyzed for calibration, and a MATLAB program was written to analyze the images and extract the material’s magnetization. Additionally, a rock sample from the Parnaíba Basin was mapped to demonstrate the system’s capabilities.","PeriodicalId":221960,"journal":{"name":"Sensors (Basel, Switzerland)","volume":"157 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140782730","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

Temperature Uncertainty Reduction Algorithm Based on Temperature Distribution Prior for Optical Sensors in Oil Tank Ground Settlement Monitoring 基于油罐地面沉降监测中光学传感器温度分布先验的温度不确定性降低算法

Sensors (Basel, Switzerland) Pub Date : 2024-04-01 DOI: 10.3390/s24072341

Tao Liu, Tao Jiang, Gang Liu, Changsen Sun

引用次数: 0

Integrated Portable and Stationary Health Impact-Monitoring System for Firefighters 消防员便携式和固定式健康影响监测综合系统

Sensors (Basel, Switzerland) Pub Date : 2024-04-01 DOI: 10.3390/s24072273

Panagiotis Lioliopoulos, Panagiotis Oikonomou, Georgios Boulougaris, Kostas Kolomvatsos

引用次数: 0

Recognition of 3D Images by Fusing Fractional-Order Chebyshev Moments and Deep Neural Networks 通过融合分数阶切比雪夫矩阵和深度神经网络识别三维图像

Sensors (Basel, Switzerland) Pub Date : 2024-04-01 DOI: 10.3390/s24072352

Lin Gao, Xuyang Zhang, Mingrui Zhao, Jinyi Zhang

{"title":"Recognition of 3D Images by Fusing Fractional-Order Chebyshev Moments and Deep Neural Networks","authors":"Lin Gao, Xuyang Zhang, Mingrui Zhao, Jinyi Zhang","doi":"10.3390/s24072352","DOIUrl":"https://doi.org/10.3390/s24072352","url":null,"abstract":"In order to achieve efficient recognition of 3D images and reduce the complexity of network parameters, we proposed a novel 3D image recognition method combining deep neural networks with fractional-order Chebyshev moments. Firstly, the fractional-order Chebyshev moment (FrCM) unit, consisting of Chebyshev moments and the three-term recurrence relation method, is calculated separately using successive integrals. Next, moment invariants based on fractional order and Chebyshev moments are utilized to achieve invariants for image scaling, rotation, and translation. This design aims to enhance computational efficiency. Finally, the fused network embedding the FrCM unit (FrCMs-DNNs) extracts depth features to analyze the effectiveness from the aspects of parameter quantity, computing resources, and identification capability. Meanwhile, the Princeton Shape Benchmark dataset and medical images dataset are used for experimental validation. Compared with other deep neural networks, FrCMs-DNNs has the highest accuracy in image recognition and classification. We used two evaluation indices, mean square error (MSE) and peak signal-to-noise ratio (PSNR), to measure the reconstruction quality of FrCMs after 3D image reconstruction. The accuracy of the FrCMs-DNNs model in 3D object recognition was assessed through an ablation experiment, considering the four evaluation indices of accuracy, precision, recall rate, and F1-score.","PeriodicalId":221960,"journal":{"name":"Sensors (Basel, Switzerland)","volume":"60 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140795763","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

Detection and Recognition of Voice Commands by a Distributed Acoustic Sensor Based on Phase-Sensitive OTDR in the Smart Home Concept 智能家居概念中基于相位敏感 OTDR 的分布式声学传感器对语音指令的检测和识别

Sensors (Basel, Switzerland) Pub Date : 2024-04-01 DOI: 10.3390/s24072281

Tatyana V. Gritsenko, M. V. Orlova, A. Zhirnov, Yuri A. Konstantinov, A. T. Turov, Fedor L. Barkov, Roman I. Khan, K. Koshelev, Cesare Svelto, Alexey B Pnev

{"title":"Detection and Recognition of Voice Commands by a Distributed Acoustic Sensor Based on Phase-Sensitive OTDR in the Smart Home Concept","authors":"Tatyana V. Gritsenko, M. V. Orlova, A. Zhirnov, Yuri A. Konstantinov, A. T. Turov, Fedor L. Barkov, Roman I. Khan, K. Koshelev, Cesare Svelto, Alexey B Pnev","doi":"10.3390/s24072281","DOIUrl":"https://doi.org/10.3390/s24072281","url":null,"abstract":"In recent years, attention to the realization of a distributed fiber-optic microphone for the detection and recognition of the human voice has increased, whereby the most popular schemes are based on φ-OTDR. Many issues related to the selection of optimal system parameters and the recognition of registered signals, however, are still unresolved. In this research, we conducted theoretical studies of these issues based on the φ-OTDR mathematical model and verified them with experiments. We designed an algorithm for fiber sensor signal processing, applied a testing kit, and designed a method for the quantitative evaluation of our obtained results. We also proposed a new setup model for lab tests of φ-OTDR single coordinate sensors, which allows for the quick variation of their parameters. As a result, it was possible to define requirements for the best quality of speech recognition; estimation using the percentage of recognized words yielded a value of 96.3%, and estimation with Levenshtein distance provided a value of 15.","PeriodicalId":221960,"journal":{"name":"Sensors (Basel, Switzerland)","volume":"46 13","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140788820","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

Improved Immune Moth–Flame Optimization Based on Gene Correction for Automatic Reverse Parking 基于基因校正的改进型免疫飞蛾-火焰优化，用于自动反向泊车

Sensors (Basel, Switzerland) Pub Date : 2024-04-01 DOI: 10.3390/s24072270

Gang Liu, Xinli Xu, Longda Wang

{"title":"Improved Immune Moth–Flame Optimization Based on Gene Correction for Automatic Reverse Parking","authors":"Gang Liu, Xinli Xu, Longda Wang","doi":"10.3390/s24072270","DOIUrl":"https://doi.org/10.3390/s24072270","url":null,"abstract":"During the process of reverse parking, it is difficult to achieve the ideal reference trajectory while avoiding collision. In this study, with the aim of establishing reference trajectory optimization for automatic reverse parking that smooths and shortens the trajectory length and ensures the berthing inclination angle is small enough, an improved immune moth–flame optimization method based on gene correction is proposed. Specifically, based on the standard automatic parking plane system, a reasonable high-quality reference trajectory optimization model for automatic parking is constructed by combining the cubic spline-fitting method and a boundary-crossing solution based on gene correction integrated into moth–flame optimization. To enhance the model’s global optimization performance, nonlinear decline strategies, including crossover and variation probability and weight coefficient, and a high-quality solution-set maintenance mechanism based on fusion distance are also designed. Taking garage No.160 of the Dalian Shell Museum located in Dalian, Xinghai Square, as the experimental site, experiments on automatic parking reference trajectory optimization and tracking control were carried out. The results show that the proposed optimization algorithm provides higher accuracy for reference trajectory optimization and can achieve better tracking control of the reference trajectory.","PeriodicalId":221960,"journal":{"name":"Sensors (Basel, Switzerland)","volume":"821 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140787422","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

Accuracy, Repeatability, and Reproducibility of a Hand-Held Structured-Light 3D Scanner across Multi-Site Settings in Lower Limb Prosthetics 手持式结构光 3D 扫描仪在下肢假体多部位设置中的准确性、可重复性和可再现性

Sensors (Basel, Switzerland) Pub Date : 2024-04-01 DOI: 10.3390/s24072350

A. Cutti, Maria Grazia Santi, Andrew H. Hansen, Stefania Fatone

{"title":"Accuracy, Repeatability, and Reproducibility of a Hand-Held Structured-Light 3D Scanner across Multi-Site Settings in Lower Limb Prosthetics","authors":"A. Cutti, Maria Grazia Santi, Andrew H. Hansen, Stefania Fatone","doi":"10.3390/s24072350","DOIUrl":"https://doi.org/10.3390/s24072350","url":null,"abstract":"The aim of this work was to assess the accuracy, repeatability, and reproducibility of a hand-held, structured-light 3D scanner (EINScan Pro 2X Plus with High Definition Prime Pack, SHINING 3D Tech. Co., Ltd., Hangzhou, China), to support its potential use in multi-site settings on lower limb prosthetics. Four limb models with different shapes were fabricated and scanned with a metrological 3D scanner (EINScan Laser FreeScan 5X, SHINING 3D Tech. Co., Ltd., Hangzhou, China) by a professional operator (OP0). Limb models were then mailed to three sites where two operators (OP1, OP2) scanned them using their own structured-light 3D scanner (same model). OP1 scanned limb models twice (OP1-A, OP1-B). OP0, OP1-A, and OP2 scans were compared for accuracy, OP1-A and OP1-B for repeatability, and OP1-A and OP2 for reproducibility. Among all comparisons, the mean radial error was <0.25 mm, mean angular error was <4°, and root mean square error of the radial distance was <1 mm. Moreover, limits of agreement were <3.5% for perimeters and volumes. By comparing these results with respect to clinically-relevant thresholds and to the literature available on other 3D scanners, we conclude that the EINScan Pro 2X Plus 3D Scanner with High Definition Prime Pack has good accuracy, repeatability, and reproducibility, supporting its use in multi-site settings.","PeriodicalId":221960,"journal":{"name":"Sensors (Basel, Switzerland)","volume":"9 23","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140764327","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

Research on Combined Localization Algorithm Based on Active Screening–Kalman Filtering 基于主动筛选-卡尔曼滤波的组合定位算法研究

Sensors (Basel, Switzerland) Pub Date : 2024-04-01 DOI: 10.3390/s24072372

Xiao Zhang, Yuting Fu, Jie Li, Yandong Wei, Yu Li, Lu Zheng

引用次数: 0