2022 IEEE International Symposium on Inertial Sensors and Systems (INERTIAL)最新文献_第3页

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2022 IEEE International Symposium on Inertial Sensors and Systems (INERTIAL) Pub Date : 2022-05-08 DOI: 10.1109/INERTIAL53425.2022.9787764

引用次数: 0

COTS MEMS Gyros for space 用于太空的COTS MEMS陀螺仪

2022 IEEE International Symposium on Inertial Sensors and Systems (INERTIAL) Pub Date : 2022-05-08 DOI: 10.1109/INERTIAL53425.2022.9787716

G. Delavoipière, K. Kiryukhina, F. Bezerra, D. Lellouchi, O. Gigan, Y. David, A. Filipe, Guillaume Papin

引用次数: 1

High Performance MEMS IMU with ThELMA-Double Technology 采用ThELMA-Double技术的高性能MEMS IMU

2022 IEEE International Symposium on Inertial Sensors and Systems (INERTIAL) Pub Date : 2022-05-08 DOI: 10.1109/INERTIAL53425.2022.9787756

G. Gattere, F. Rizzini, L. Guerinoni, L. Falorni, C. Valzasina, F. Vercesi, L. Corso, G. Allegato

引用次数: 1

Gyroscope-Aided Odometry Navigation Using a Highly-Precise Automotive MEMS IMU Complemented by a Low-Cost Sensor Array 利用高精度汽车MEMS IMU辅以低成本传感器阵列的陀螺仪辅助里程计导航

2022 IEEE International Symposium on Inertial Sensors and Systems (INERTIAL) Pub Date : 2022-05-08 DOI: 10.1109/INERTIAL53425.2022.9787758

Lukas Blocher, W. Mayer, Miloš Vujadinović, J. Haack, Johannes Hofele, Dusan Radovic, T. Hiller, J. Gerlach, O. Bringmann

引用次数: 1

Design Methodology and Model Order Reduction for Resonant Accelerometers 共振加速度计的设计方法与模型降阶

2022 IEEE International Symposium on Inertial Sensors and Systems (INERTIAL) Pub Date : 2022-05-08 DOI: 10.1109/INERTIAL53425.2022.9787741

O. Halevy, S. Krylov

引用次数: 0

Frequency Modulated Operation in a Silicon MEMS Gyroscope with Quatrefoil Suspension System 带有四翼悬架系统的硅MEMS陀螺仪的调频操作

2022 IEEE International Symposium on Inertial Sensors and Systems (INERTIAL) Pub Date : 2022-05-08 DOI: 10.1109/INERTIAL53425.2022.9787520

Madan Parajuli, G. Sobreviela, A. Seshia

引用次数: 2

Effect of Metallization on Fused Silica Dual-Shell Gyroscopes 金属化对熔融二氧化硅双壳陀螺仪的影响

2022 IEEE International Symposium on Inertial Sensors and Systems (INERTIAL) Pub Date : 2022-05-08 DOI: 10.1109/INERTIAL53425.2022.9787525

Danmeng Wang, Wei Guan, M. Asadian, A. Shkel

引用次数: 3

Monitoring Cardiac Activity by Detecting Subtle Head Movements Using MEMS Technology 利用MEMS技术检测头部细微运动来监测心脏活动

2022 IEEE International Symposium on Inertial Sensors and Systems (INERTIAL) Pub Date : 2022-05-08 DOI: 10.1109/INERTIAL53425.2022.9787725

S. Solbiati, A. Buffoli, V. Megale, G. Damato, B. Lenzi, G. Langfelder, E. Caiani

{"title":"Monitoring Cardiac Activity by Detecting Subtle Head Movements Using MEMS Technology","authors":"S. Solbiati, A. Buffoli, V. Megale, G. Damato, B. Lenzi, G. Langfelder, E. Caiani","doi":"10.1109/INERTIAL53425.2022.9787725","DOIUrl":"https://doi.org/10.1109/INERTIAL53425.2022.9787725","url":null,"abstract":"Ballistocardiography (BCG) is a non-invasive technique that measures the recoil forces of the body in reaction to the cardiac contraction and blood flow through the vessels. This work compares the performance of a virtual reality (VR) headset-embedded gyroscope and of a novel high-performance gyroscope in measuring median HR from the BCG signal obtained from subtle head movements. Nine healthy volunteers were enrolled in this study. Head BCG signals were acquired for 1 minute in supine position using the triaxial gyroscope (VRG) embedded in an Oculus Quest (Facebook) headset, and a monoaxial high-performance gyroscope (HPG). 1-lead ECG signal was acquired simultaneously and used as a gold standard for HR measurement (HRECG). Automatic beat-by-beat identification was performed on the BCG signals, from which median HR was computed (HRVRG and HRHPG). Results obtained with the three sensors were statistically compared, and linear regression and Bland Altman analyses were performed. Pitch and roll head rotations provided more accurate HR estimates compared to the yaw rotation, with more marked peaks in the BCG signal, possibly due to the to the anatomical orientation of the carotid arteries and to how the head is perfused with blood. Also, the HPG outperformed the VRG, thus potentially allowing a more detailed analysis of the BCG signal morphology, with possible application in the extraction of novel biomarkers with clinical utility.","PeriodicalId":435781,"journal":{"name":"2022 IEEE International Symposium on Inertial Sensors and Systems (INERTIAL)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122266141","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 Neural Network Approach to Mitigate Thermal-Induced Errors in ZUPT-aided INS 基于神经网络的zupt辅助惯导系统热致误差控制

2022 IEEE International Symposium on Inertial Sensors and Systems (INERTIAL) Pub Date : 2022-05-08 DOI: 10.1109/INERTIAL53425.2022.9787518

Chi-Shih Jao, Danmeng Wang, Austin R. Parrish, A. Shkel

{"title":"A Neural Network Approach to Mitigate Thermal-Induced Errors in ZUPT-aided INS","authors":"Chi-Shih Jao, Danmeng Wang, Austin R. Parrish, A. Shkel","doi":"10.1109/INERTIAL53425.2022.9787518","DOIUrl":"https://doi.org/10.1109/INERTIAL53425.2022.9787518","url":null,"abstract":"Zero velocity UPdaTe (ZUPT)-aided Inertial Navigation Systems (INS) using foot-mounted Micro-Electro-Mechanical-Systems (MEMS) Inertial Measurement Units (IMUs) have been considered as a promising technology for localization of emergency responders, including firefighters and other personnel, in GPS-denied environments. Most commercially available general purpose MEMS IMUs are sensitive to ambient temperature changes. As a result, ZUPT-aided INS using these devices can have a degraded performance when operating in temperature-varying scenarios. This paper proposed a ZUPT-aided INS enhanced with a Back-Propagation Neural Network (BPNN)-based thermal compensation method. The proposed approach trained 12 different BPNNs to mitigate 12 thermal-induced errors separately, including bias drifts and noise standard deviation variations of accelerometers and gyroscopes along the three axes. We compared the proposed temperature-compensated ZUPT-aided INS with the traditional ZUPT-aided INS with a series of pedestrian indoor walking experiments in both temperature-static and -varying environments. Our experimental results showed that in the static cases, the traditional approach and our proposed approach had similar position Root-Mean-Squared Error (RMSE) of 0.38 m and 0.34 m, respectively. In the varying cases, however, the traditional approach had an RMSE of 9.29 m while our proposed approach significantly reduced the RMSE to 0.57 m.","PeriodicalId":435781,"journal":{"name":"2022 IEEE International Symposium on Inertial Sensors and Systems (INERTIAL)","volume":"46 9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128167039","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: 2

A Novel Modeling Method Based on 3D CT Images for Dynamics Analysis of The Micro-Hemispherical Resonator Gyroscope 基于三维CT图像的微半球谐振陀螺仪动力学分析建模方法

2022 IEEE International Symposium on Inertial Sensors and Systems (INERTIAL) Pub Date : 2022-05-08 DOI: 10.1109/INERTIAL53425.2022.9787721

Min Meng, Kai Yang, Wei Su, Shengwei Dong, Hao Zhang, Jie Zhang, He Li, Xi Wang

引用次数: 1