IEEE Sensors Letters最新文献_第7页

Design of Autoencoder Algorithm for Compression of Lightweight EEG Signals Based on 2-D Rhythm Feature Maps

IF 2.2

IEEE Sensors Letters Pub Date : 2025-02-13 DOI: 10.1109/LSENS.2025.3541231

Peijun Ma;Cong Yao;Jiangyi Shi;Gongzhi Zhao;Mingyu Ma

{"title":"Design of Autoencoder Algorithm for Compression of Lightweight EEG Signals Based on 2-D Rhythm Feature Maps","authors":"Peijun Ma;Cong Yao;Jiangyi Shi;Gongzhi Zhao;Mingyu Ma","doi":"10.1109/LSENS.2025.3541231","DOIUrl":"https://doi.org/10.1109/LSENS.2025.3541231","url":null,"abstract":"In recent years, with the development of brain science, the value of electroencephalography (EEG) data has become prominent. However, due to the characteristics of real-time transmission and large amounts of data, there is an urgent need for efficient and lightweight EEG compression algorithms. The existing EEG compression methods have many shortcomings, such as limited compression ratio (CR), poor reconstruction signal quality, and too large model scale, which cannot meet the developmental needs of portable wearable EEG detection devices. In this letter, a method of EEG signal compression based on 2-D rhythm feature maps is proposed. Through discrete wavelet transformation (DWT) extraction of the signal rhythm characteristics, the signal is compressed and reconstructed using encoding and reconstruction channels based on an autoencoder network. At the output end of the encoding channel, entropy coding is carried out to further compress the data volume. Through the discussion of several coding algorithms, JPEG2000 is selected as the local optimal coding algorithm. In addition, based on the idea of grouping convolution and void convolution kernel, a lightweight structure is designed to simplify the process of the proposed network and greatly reduce the number of model parameters. Experiments show that, compared with other similar algorithms, the percentage-root-mean-square distortion and mean squared error (MSE) of the proposed algorithm are 14.76% and 2.95%, respectively, at a relatively high CR (CR is about 16). And only 87.9-k parameters are used, which is more suitable for embedded scenarios and wearable devices.","PeriodicalId":13014,"journal":{"name":"IEEE Sensors Letters","volume":"9 3","pages":"1-4"},"PeriodicalIF":2.2,"publicationDate":"2025-02-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143564223","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

Fiber Bragg Grating-Based Sensor System for Strain and Angle Assessment in Passive Orthosis

IF 2.2

IEEE Sensors Letters Pub Date : 2025-02-13 DOI: 10.1109/LSENS.2025.3541344

João Coimbra;Pedro Lorenzutti;Arnaldo Leal-Junior

{"title":"Fiber Bragg Grating-Based Sensor System for Strain and Angle Assessment in Passive Orthosis","authors":"João Coimbra;Pedro Lorenzutti;Arnaldo Leal-Junior","doi":"10.1109/LSENS.2025.3541344","DOIUrl":"https://doi.org/10.1109/LSENS.2025.3541344","url":null,"abstract":"In this letter, we present the development and application of a fiber Bragg grating (FBG) sensor system for the instrumentation of a lower limb passive orthosis for gait assistance. The sensors include FBG strain sensors attached to the orthosis structure for monitoring the strains in the structure during gait. In addition, another FBG is used as angle sensor positioned on the user lumbar for angle monitoring of the trunk in the frontal plane. The sensors were characterized as a function of strain and angle resulting in root-mean-squared errors of 6.15<inline-formula><tex-math>$;mu epsilon$</tex-math></inline-formula> and 0.30 ° for strain and angle, respectively. Then, in the application tests, the strain sensor demonstrate its feasibility by means of strain estimation within the range of 10–200<inline-formula><tex-math>$;mu epsilon$</tex-math></inline-formula> as well as the periodic strain pattern following the ground reaction force variation during the stance phase of the gait. Furthermore, the angle measurement during the wearable gait tests indicated a measurement range of −15 ° to 30 <inline-formula><tex-math>$^{circ }$</tex-math></inline-formula> with an estimated linear velocity of 4.0 km/h, which is the reference one used on the treadmill. Therefore, the proposed sensor system is an integrated solution for in-situ gait analysis, which can extent the functionalities not only of the passive orthosis, but also in active rehabilitation robots.","PeriodicalId":13014,"journal":{"name":"IEEE Sensors Letters","volume":"9 3","pages":"1-4"},"PeriodicalIF":2.2,"publicationDate":"2025-02-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143535526","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

Hybrid Sensor System for Integrated Structural Motion Measurement

IF 2.2

IEEE Sensors Letters Pub Date : 2025-02-10 DOI: 10.1109/LSENS.2025.3540358

Jörg F. Wagner;Sebastian Wille;Carl C. Rheinländer;Michael Kohl;Benedikt Györfi

{"title":"Hybrid Sensor System for Integrated Structural Motion Measurement","authors":"Jörg F. Wagner;Sebastian Wille;Carl C. Rheinländer;Michael Kohl;Benedikt Györfi","doi":"10.1109/LSENS.2025.3540358","DOIUrl":"https://doi.org/10.1109/LSENS.2025.3540358","url":null,"abstract":"Over the last three decades, gyroscopes have become increasingly miniaturized and have enabled the design of very small, light, and cost-effective inertial measurement units (IMUs). This allows new applications of inertial sensors. The motion measurement or motion capture of structures which, in contrast to classic inertial navigation, are no longer single rigid bodies but can show a variable shape is such a new application. However, this approach is only realizable if such a “flexible” structure is equipped with several spatially distributed and closely networked IMUs. At the same time, this measurement approach, similar to classic inertial navigation, requires the use of additional, complementary aiding sensors, which must also be distributed across the structure. Such systems or networks, which consist of inertial and structural sensors in parallel, are novel and not state of the art. This letter, therefore, presents a modular, experimental sensor system of this type designed as a demonstrator for basic research purposes, describes the specific challenges in designing the system, and reports on initial practical experiences in using the system on a test rig for the motion measurement of a flexible beam.","PeriodicalId":13014,"journal":{"name":"IEEE Sensors Letters","volume":"9 3","pages":"1-4"},"PeriodicalIF":2.2,"publicationDate":"2025-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143512936","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 Novel Approach for Exploring Resolution Tunable Displacement Measurement System by Using Extension Spring and Ultrasonic Sensors 利用拉伸弹簧和超声波传感器探索分辨率可调位移测量系统的新方法

IF 2.2

IEEE Sensors Letters Pub Date : 2025-02-10 DOI: 10.1109/LSENS.2025.3540499

Ram Kishore Roy;Nityananda Hazarika;Tulshi Bezboruah

引用次数: 0

Development of Self-Sensing Cantilever Structures Using Additive Manufacturing and Optical Fiber Sensing Technology

IF 2.2

IEEE Sensors Letters Pub Date : 2025-02-06 DOI: 10.1109/LSENS.2025.3539980

Robertson Pires-Junior;Leandro Macedo;Anselmo Frizera;Arnaldo Leal-Junior

{"title":"Development of Self-Sensing Cantilever Structures Using Additive Manufacturing and Optical Fiber Sensing Technology","authors":"Robertson Pires-Junior;Leandro Macedo;Anselmo Frizera;Arnaldo Leal-Junior","doi":"10.1109/LSENS.2025.3539980","DOIUrl":"https://doi.org/10.1109/LSENS.2025.3539980","url":null,"abstract":"Fused filament fabrication (FFF) can produce parts that can be integrated with optical fiber sensors to obtain a multifunctional structure. In this study, fibers inscribed with Bragg gratings were incorporated into single cantilever-type accelerometers (fabricated using FFF) from nylon filaments and 17–4 PH to produce structures sensitive to mechanical vibration. The materials were characterized using dynamic mechanical analysis with an optical fiber incorporated into the test specimens, where the nylon specimens presented a transition in elastic modulus until 60 <inline-formula><tex-math>$^{circ }$</tex-math></inline-formula>C and for the 17–4 PH the transition occurred until 180 <inline-formula><tex-math>$^{circ }$</tex-math></inline-formula>C. Linear regressions were used to estimate the sensitivity of the accelerometers, with calculated coefficients of determination (R<sup>2</sup>) greater than 0.97. The 17–4 PH cantilever had a sensitivity to variation in vibration amplitude (which ranged from 0.5 to 2.0 V) of 1.787 pm/V when vibrated at a frequency of 10 Hz and 3.605 pm/V at 100 Hz, while the nylon accelerometer had sensitivities of 83.114 pm/V and 104.385 pm/V at 10 and 100 Hz, respectively. The manufactured accelerometers have the potential to be used as low-frequency vibration sensors and self-sensing cantilevers in diverse environments.","PeriodicalId":13014,"journal":{"name":"IEEE Sensors Letters","volume":"9 3","pages":"1-4"},"PeriodicalIF":2.2,"publicationDate":"2025-02-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143455319","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

Dielectric-Based Calibration Algorithm for Rapid and Nondestructive Determination of Multiple Quality Attributes of In-Shell Nuts

IF 2.2

IEEE Sensors Letters Pub Date : 2025-02-06 DOI: 10.1109/LSENS.2025.3539583

Samir Trabelsi;Micah A. Lewis

引用次数: 0

No-Reference Laparoscopic Video Quality Assessment for Sensor Distortions Using Optimized Long Short-Term Memory Framework

IF 2.2

IEEE Sensors Letters Pub Date : 2025-02-05 DOI: 10.1109/LSENS.2025.3539186

Sria Biswas;Rohini Palanisamy

{"title":"No-Reference Laparoscopic Video Quality Assessment for Sensor Distortions Using Optimized Long Short-Term Memory Framework","authors":"Sria Biswas;Rohini Palanisamy","doi":"10.1109/LSENS.2025.3539186","DOIUrl":"https://doi.org/10.1109/LSENS.2025.3539186","url":null,"abstract":"Laparoscopic surgery relies on sensor-based video systems vulnerable to visual distortions, requiring rigorous quality checks to meet regulatory standards. This letter introduces a no-reference laparoscopic video quality assessment algorithm designed to replicate human perceptual judgments in the presence of sensor distortions. The method models the statistical interdependencies between luminance and motion features and combines them with texture variations to formulate a perceptually relevant feature vector. This is used as input to train a memory-retentive deep learning model optimized by chaotic maps to predict frame quality scores which are utilized to evaluate the overall video quality. Performance comparisons with state-of-the-art methods show that the proposed model aligns closely with both expert and nonexpert subjective ratings, with experts achieving higher accuracy. Ablation studies further emphasize the effectiveness of the selected feature combinations and regression frameworks, demonstrating the capability of the model to replicate human opinions. These findings highlight the potential of the proposed method as a reliable tool for automating quality assessment in sensor-based laparoscopic systems to ensure high standards in clinical applications.","PeriodicalId":13014,"journal":{"name":"IEEE Sensors Letters","volume":"9 4","pages":"1-4"},"PeriodicalIF":2.2,"publicationDate":"2025-02-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143621679","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

Harnessing Haptic Technology for Real-Time Emotion Detection

IF 2.2

IEEE Sensors Letters Pub Date : 2025-02-05 DOI: 10.1109/LSENS.2025.3538804

Lital Levy;Yuval Blum;Asmare Ambaw;Roi Yozevitch;Eldad Holdengreber

引用次数: 0

uThaw: Ultra-Wideband Wireless Solid–Liquid State Transition Sensor to Detect Thawing of Food

IF 2.2

IEEE Sensors Letters Pub Date : 2025-01-31 DOI: 10.1109/LSENS.2025.3537922

Rahul Bulusu;Ashutosh Dhekne

引用次数: 0

Ball Trajectory and Spin Analysis From Asynchronous Videos 从异步视频分析球的轨迹和旋转