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Journal articles on the topic 'MARG sensors'

Author: Grafiati

Published: 11 September 2021

Last updated: 30 July 2025

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1

Wöhle, Lukas, and Marion Gebhard. "SteadEye-Head—Improving MARG-Sensor Based Head Orientation Measurements Through Eye Tracking Data." Sensors 20, no. 10 (2020): 2759. http://dx.doi.org/10.3390/s20102759.

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This paper presents the use of eye tracking data in Magnetic AngularRate Gravity (MARG)-sensor based head orientation estimation. The approach presented here can be deployed in any motion measurement that includes MARG and eye tracking sensors (e.g., rehabilitation robotics or medical diagnostics). The challenge in these mostly indoor applications is the presence of magnetic field disturbances at the location of the MARG-sensor. In this work, eye tracking data (visual fixations) are used to enable zero orientation change updates in the MARG-sensor data fusion chain. The approach is based on a

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Liu, Xiaoqin, Xiang Li, Qi Shi, Chuanpei Xu, and Yanmei Tang. "UAV attitude estimation based on MARG and optical flow sensors using gated recurrent unit." International Journal of Distributed Sensor Networks 17, no. 4 (2021): 155014772110098. http://dx.doi.org/10.1177/15501477211009814.

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Three-dimensional attitude estimation for unmanned aerial vehicles is usually based on the combination of magnetometer, accelerometer, and gyroscope (MARG). But MARG sensor can be easily affected by various disturbances, for example, vibration, external magnetic interference, and gyro drift. Optical flow sensor has the ability to extract motion information from image sequence, and thus, it is potential to augment three-dimensional attitude estimation for unmanned aerial vehicles. But the major problem is that the optical flow can be caused by both translational and rotational movements, which

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Mitsopoulos, Konstantinos, Vasiliki Fiska, Konstantinos Tagaras, et al. "NeuroSuitUp: System Architecture and Validation of a Motor Rehabilitation Wearable Robotics and Serious Game Platform." Sensors 23, no. 6 (2023): 3281. http://dx.doi.org/10.3390/s23063281.

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Background: This article presents the system architecture and validation of the NeuroSuitUp body–machine interface (BMI). The platform consists of wearable robotics jacket and gloves in combination with a serious game application for self-paced neurorehabilitation in spinal cord injury and chronic stroke. Methods: The wearable robotics implement a sensor layer, to approximate kinematic chain segment orientation, and an actuation layer. Sensors consist of commercial magnetic, angular rate and gravity (MARG), surface electromyography (sEMG), and flex sensors, while actuation is achieved through

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Nagy, Balázs, János Botzheim, and Péter Korondi. "Magnetic Angular Rate and Gravity Sensor Based Supervised Learning for Positioning Tasks." Sensors 19, no. 24 (2019): 5364. http://dx.doi.org/10.3390/s19245364.

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This paper deals with sensor fusion of magnetic, angular rate and gravity sensor (MARG). The main contribution of this paper is the sensor fusion performed by supervised learning, which means parallel processing of the different kinds of measured data and estimating the position in periodic and non-periodic cases. During the learning phase, the position estimated by sensor fusion is compared with position data of a motion capture system. The main challenge is avoiding the error caused by the implicit integral calculation of MARG. There are several filter based signal processing methods for dis

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Rojas-Valverde, Daniel, Rafael Timón, Braulio Sánchez-Ureña, José Pino-Ortega, Ismael Martínez-Guardado, and Guillermo Olcina. "Potential Use of Wearable Sensors to Assess Cumulative Kidney Trauma in Endurance Off-Road Running." Journal of Functional Morphology and Kinesiology 5, no. 4 (2020): 93. http://dx.doi.org/10.3390/jfmk5040093.

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(1) Background: This study aimed to explore wearable sensors′ potential use to assess cumulative mechanical kidney trauma during endurance off-road running. (2) Methods: 18 participants (38.78 ± 10.38 years, 73.24 ± 12.6 kg, 172.17 ± 9.48 cm) ran 36 k off-road race wearing a Magnetic, Angular Rate and Gravity (MARG) sensor attached to their lower back. Impacts in g forces were recorded throughout the race using the MARG sensor. Two blood samples were collected immediately pre- and post-race: serum creatinine (sCr) and albumin (sALB). (3) Results: Sixteen impact variables were grouped using pri

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Jwu-Sheng Hu and Kuan-Chun Sun. "A Robust Orientation Estimation Algorithm Using MARG Sensors." IEEE Transactions on Instrumentation and Measurement 64, no. 3 (2015): 815–22. http://dx.doi.org/10.1109/tim.2014.2359815.

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7

Tan, Lining, and Guodong Jin. "Attitude estimation using MARG sensors for unmanned aerial vehicles." Journal of Computational Methods in Sciences and Engineering 18, no. 4 (2018): 905–16. http://dx.doi.org/10.3233/jcm-180838.

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8

Ding, Wei, and Yang Gao. "Attitude Estimation Using Low-Cost MARG Sensors With Disturbances Reduction." IEEE Transactions on Instrumentation and Measurement 70 (2021): 1–11. http://dx.doi.org/10.1109/tim.2021.3104395.

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9

Shi, Gang, Xisheng Li, and Zhengfu Jiang. "An Improved Yaw Estimation Algorithm for Land Vehicles Using MARG Sensors." Sensors 18, no. 10 (2018): 3251. http://dx.doi.org/10.3390/s18103251.

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This paper presents a linear Kalman filter for yaw estimation of land vehicles using magnetic angular rate and gravity (MARG) sensors. A gyroscope measurement update depending on the vehicle status and constraining yaw estimation is introduced. To determine the vehicle status, the correlations between outputs from different sensors are analyzed based on the vehicle kinematic model and Coriolis theorem, and a vehicle status marker is constructed. In addition, a two-step measurement update method is designed. The method treats the magnetometer measurement update separately after the other update

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Wu, Jin, Zebo Zhou, Jingjun Chen, Hassen Fourati, and Rui Li. "Fast Complementary Filter for Attitude Estimation Using Low-Cost MARG Sensors." IEEE Sensors Journal 16, no. 18 (2016): 6997–7007. http://dx.doi.org/10.1109/jsen.2016.2589660.

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11

Odry, Akos, Istvan Kecskes, Richard Pesti, et al. "NN-augmented EKF for Robust Orientation Estimation Based on MARG Sensors." International Journal of Control, Automation and Systems 23, no. 3 (2025): 920–34. https://doi.org/10.1007/s12555-024-0221-9.

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12

Liu, Gongxu, Baoguo Yu, Lingfeng Shi, and Ruicai Jia. "Fast and Robust Position and Attitude Estimation Method Based on MARG Sensors." IEEE Transactions on Instrumentation and Measurement 70 (2021): 1–9. http://dx.doi.org/10.1109/tim.2021.3050158.

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13

Li, Xiang, Qing Xu, Qi Shi, and Yanmei Tang. "Complementary Filter for Attitude Estimation Based on MARG and Optical Flow Sensors." Journal of Physics: Conference Series 2010, no. 1 (2021): 012160. http://dx.doi.org/10.1088/1742-6596/2010/1/012160.

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Shi, Gang, Xisheng Li, Zhe Wang, and Yanxia Liu. "A new measurement for yaw estimation of land vehicles using MARG sensors." Sensor Review 39, no. 5 (2019): 636–44. http://dx.doi.org/10.1108/sr-10-2018-0276.

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Purpose The magnetometer measurement update plays a key role in correcting yaw estimation in fusion algorithms, and hence, the yaw estimation is vulnerable to magnetic disturbances. The purpose of this study is to improve the ability of the fusion algorithm to deal with magnetic disturbances. Design/methodology/approach In this paper, an adaptive measurement equation based on vehicle status is derived, which can constrain the yaw estimation from drifting when vehicle is running straight. Using this new measurement, a Kalman filter-based fusion algorithm is constructed, and its performance is e

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Qiu, Sen, Zhelong Wang, Hongyu Zhao, and osheng Hu. "Heterogeneous data fusion for three-dimensional gait analysis using wearable MARG sensors." International Journal of Computational Science and Engineering 14, no. 3 (2017): 222. http://dx.doi.org/10.1504/ijcse.2017.084154.

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Hu, Huosheng, Hongyu Zhao, Sen Qiu, and Zhelong Wang. "Heterogeneous data fusion for three-dimensional gait analysis using wearable MARG sensors." International Journal of Computational Science and Engineering 14, no. 3 (2017): 222. http://dx.doi.org/10.1504/ijcse.2017.10005020.

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17

Gamonales, José M., Kiko León, Daniel Rojas-Valverde, Braulio Sánchez-Ureña, and Jesús Muñoz-Jiménez. "Data Mining to Select Relevant Variables Influencing External and Internal Workload of Elite Blind 5-a-Side Soccer." International Journal of Environmental Research and Public Health 18, no. 6 (2021): 3155. http://dx.doi.org/10.3390/ijerph18063155.

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(1) Background: Data mining has turned essential when exploring a large amount of information in performance analysis in sports. This study aimed to select the most relevant variables influencing the external and internal load in top-elite 5-a-side soccer (Sa5) using a data mining model considering some contextual indicators as match result, body mass index (BMI), scoring rate and age. (2) Methods: A total of 50 top-elite visually impaired soccer players (age 30.86 ± 11.2 years, weight 77.64 ± 9.78 kg, height 178.48 ± 7.9 cm) were monitored using magnetic, angular and rate gyroscope (MARG) sen

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Patil, Shashidhar, Dubeom Kim, Seongsill Park, and Youngho Chai. "Handwriting Recognition in Free Space Using WIMU-Based Hand Motion Analysis." Journal of Sensors 2016 (2016): 1–10. http://dx.doi.org/10.1155/2016/3692876.

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We present a wireless-inertial-measurement-unit- (WIMU-) based hand motion analysis technique for handwriting recognition in three-dimensional (3D) space. The proposed handwriting recognition system is not bounded by any limitations or constraints; users have the freedom and flexibility to write characters in free space. It uses hand motion analysis to segment hand motion data from a WIMU device that incorporates magnetic, angular rate, and gravity sensors (MARG) and a sensor fusion algorithm to automatically distinguish segments that represent handwriting from nonhandwriting data in continuou

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19

Li, Xiang, Fei He, and Qing Xu. "Augmentation for unmanned aerial vehicle position estimation using MARG and optical flow sensors." Journal of Physics: Conference Series 2483, no. 1 (2023): 012002. http://dx.doi.org/10.1088/1742-6596/2483/1/012002.

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Abstract The optical flow sensor can detect the movement of the unmanned aerial vehicle (UAV) on the ground; thus, it is widely used for UAV flight control. The commonly used pinhole model of optical flow sensor describes the optical flow measurement in linear and angular velocities. It is not suitable in the case of discrete-time processing. A novel measurement model for the optical flow sensor is proposed, which directly gives the relationship between the optical flow and the UAV’s translational/angular motions in each sampling period. A data fusion scheme based on cubature transform is also

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Mazomenos, Evangelos B., Dwaipayan Biswas, Andy Cranny, et al. "Detecting Elementary Arm Movements by Tracking Upper Limb Joint Angles With MARG Sensors." IEEE Journal of Biomedical and Health Informatics 20, no. 4 (2016): 1088–99. http://dx.doi.org/10.1109/jbhi.2015.2431472.

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21

Wu, Jin, Zebo Zhou, Jingjun Chen, Hassen Fourati, and Rui Li. "Corrections to “Fast Complementary Filter for Attitude Estimation Using Low-Cost MARG Sensors”." IEEE Sensors Journal 19, no. 24 (2019): 12511. http://dx.doi.org/10.1109/jsen.2019.2939646.

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22

Tong, Xin, Zhaofeng Li, Guowei Han, et al. "Adaptive EKF Based on HMM Recognizer for Attitude Estimation Using MEMS MARG Sensors." IEEE Sensors Journal 18, no. 8 (2018): 3299–310. http://dx.doi.org/10.1109/jsen.2017.2787578.

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23

Geng, Jijun, Linyuan Xia, and Dongjin Wu. "Attitude and Heading Estimation for Indoor Positioning Based on the Adaptive Cubature Kalman Filter." Micromachines 12, no. 1 (2021): 79. http://dx.doi.org/10.3390/mi12010079.

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The demands for indoor positioning in location-based services (LBS) and applications grow rapidly. It is beneficial for indoor positioning to combine attitude and heading information. Accurate attitude and heading estimation based on magnetic, angular rate, and gravity (MARG) sensors of micro-electro-mechanical systems (MEMS) has received increasing attention due to its high availability and independence. This paper proposes a quaternion-based adaptive cubature Kalman filter (ACKF) algorithm to estimate the attitude and heading based on smart phone-embedded MARG sensors. In this algorithm, the

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24

Mazomenos, Evangelos, Andy Cranny, Dwaipayan Biswas, Nick Harris, and Koushik Maharatna. "An Investigation into the Accuracy of Calculating upper Body Joint Angles Using MARG Sensors." Procedia Engineering 87 (2014): 1330–33. http://dx.doi.org/10.1016/j.proeng.2014.11.693.

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25

Su, Yi, Yang Liu, Xiao Kun Li, and Xin Qi. "Attitude Measurement and Optimization for Horizontal Directional Drilling Based on MARG Sensor." Advanced Materials Research 616-618 (December 2012): 455–60. http://dx.doi.org/10.4028/www.scientific.net/amr.616-618.455.

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Attitude measurement of the drill bit is the key for horizontal directional drilling, which determines the final positioning accuracy. As for disadvantages of existing algorithms, a method is proposed to get the azimuth, the inclination, and the tool face angle based on gyros. In order to improve attitude measurement accuracy, a quaternion-based attitude complementary filter algorithm is adopted. The accelerometer and magnetometer are used to measure the components of the earth’s gravity field and magnetic field to compensate for gyro drift errors over time, while the gyro ensures the stabilit

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26

Zhou, Zebo, and Jin Wu. "Cascaded Indirect Kalman Filters for Land-Vehicle Attitude Estimation With MARG Sensors and GNSS Observations." IEEE Transactions on Vehicular Technology 70, no. 4 (2021): 3267–82. http://dx.doi.org/10.1109/tvt.2021.3067659.

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27

Susheel, Kumar Sindhu, Kumar Pankaj, Agarwal Himanshu, and Chandra Sulekh. "Bismuth(III)-selective membrane electrode based on inorganic ion exchanger." Journal of Indian Chemical Society Vol. 82, Oct 2005 (2005): 875–78. https://doi.org/10.5281/zenodo.5826768.

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Department of Chemistry, S. S. V. Post-Graduate College, Hapur-245 101, India Department of Chemistry, Zakir Husain College, J. L. Nehru Marg, (University of Delhi), New Delhi-110 002, India <em>E-mail</em>: himan_007@rediffmail.com <em>Manuscript received 19 September 2004, revised 4 July 2005, accepted 5 July 2005</em> Polyvinyl chloride (PVC) based membrane electrodes of antimony(III) silicate were prepared using different plasticizing materials like dibutyl phthalate (DBP), dioctylphthalate (DOP), dibutyl(butyl)phosphonate (DBBP) as plasticizers and sodium tetraphenylborate (NaTPB) as plas

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Grivon, D., E. Vezzetti, and Maria Grazia Violante. "Development of an innovative low-cost MARG sensors alignment and distortion compensation methodology for 3D scanning applications." Robotics and Autonomous Systems 61, no. 12 (2013): 1710–16. http://dx.doi.org/10.1016/j.robot.2013.06.003.

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Himanshu, Agarwal, and Chandra Sulekh. "PVC-based heterogeneous chelating inorganic exchanger membrane as sensors for the determination of zinc( II) ions." Journal of Indian Chemical Society Vol. 83, Apr 2006 (2006): 369–72. https://doi.org/10.5281/zenodo.5836174.

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Department of Chemistry, Zakir Husain College (University of Delhi), J. L. Nehru Marg, New Delhi-110 002, India E-mail: schandra_oo@yahoo.com <em>Manuscript received 21 July 2004, revised 2fi October 2005. accepted 16 December 2005</em> A PVC membrane electrode for zn<sup>ll</sup> ion based on heterogeneous chelating inorganic ion exchange resin i.e.tetracycline hydrochloride sorbed tin(IV) tungstophosphate is reported. The electrode works well over a wide range of concentration (1.5 x 10<sup>-5 </sup>to 1 x 10<sup>-1</sup> M) with a Nernstian slope of 27.3 mV per decade of concentrations

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Tian, Ya, Hongxing Wei, and Jindong Tan. "An Adaptive-Gain Complementary Filter for Real-Time Human Motion Tracking With MARG Sensors in Free-Living Environments." IEEE Transactions on Neural Systems and Rehabilitation Engineering 21, no. 2 (2013): 254–64. http://dx.doi.org/10.1109/tnsre.2012.2205706.

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Xu, Xiaolong, Xincheng Tian, and Lelai Zhou. "A Robust Incremental-Quaternion-Based Angle and Axis Estimation Algorithm of a Single-Axis Rotation Using MARG Sensors." IEEE Access 6 (2018): 42605–15. http://dx.doi.org/10.1109/access.2018.2859805.

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Shi, Yutong, Yongbo Zhang, Zhonghan Li, Shangwu Yuan, and Shihao Zhu. "IMU/UWB Fusion Method Using a Complementary Filter and a Kalman Filter for Hybrid Upper Limb Motion Estimation." Sensors 23, no. 15 (2023): 6700. http://dx.doi.org/10.3390/s23156700.

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Motion capture systems have enormously benefited the research into human–computer interaction in the aerospace field. Given the high cost and susceptibility to lighting conditions of optical motion capture systems, as well as considering the drift in IMU sensors, this paper utilizes a fusion approach with low-cost wearable sensors for hybrid upper limb motion tracking. We propose a novel algorithm that combines the fourth-order Runge–Kutta (RK4) Madgwick complementary orientation filter and the Kalman filter for motion estimation through the data fusion of an inertial measurement unit (IMU) an

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Liu, Qiang, Rendong Ying, Zhendong Dai, Yuze Wang, Jiuchao Qian, and Peilin Liu. "Multi-Phase Fusion for Pedestrian Localization Using Mass-Market GNSS and MEMS Sensors." Sensors 23, no. 7 (2023): 3624. http://dx.doi.org/10.3390/s23073624.

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Precise pedestrian positioning based on smartphone-grade sensors has been a research hotspot for several years. Due to the poor performance of the mass-market Micro-Electro-Mechanical Systems (MEMS) Magnetic, Angular Rate, and Gravity (MARG) sensors, the standalone pedestrian dead reckoning (PDR) module cannot avoid long-time heading drift, which leads to the failure of the entire positioning system. In outdoor scenes, the Global Navigation Satellite System (GNSS) is one of the most popular positioning systems, and smartphone users can use it to acquire absolute coordinates. However, the smart

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Madrigal, José Antonio Barraza, Jessica Cantillo Negrete, Roberto Muñoz Guerrero, Lauro Armando Contreras Rodríguez, and Humberto Sossa. "3D motion tracking of the shoulder joint with respect to the thorax using MARG sensors and data fusion algorithm." Biocybernetics and Biomedical Engineering 40, no. 3 (2020): 1205–24. http://dx.doi.org/10.1016/j.bbe.2020.04.008.

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35

Zhao, Lin, Dongxue Guan, René Jr. Landry, Jianhua Cheng, and Kostyantyn Sydorenko. "An Accurate and Fault-Tolerant Target Positioning System for Buildings Using Laser Rangefinders and Low-Cost MEMS-Based MARG Sensors." Sensors 15, no. 10 (2015): 27060–86. http://dx.doi.org/10.3390/s151027060.

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Barraza Madrigal, José Antonio, Lauro Armando Contreras Rodríguez, Eladio Cardiel Pérez, Pablo Rogelio Hernández Rodríguez, and Humberto Sossa. "Title: Hip and lower limbs 3D motion tracking using a double-stage data fusion algorithm for IMU/MARG-based wearables sensors." Biomedical Signal Processing and Control 86 (September 2023): 104938. http://dx.doi.org/10.1016/j.bspc.2023.104938.

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Geng, Jijun, Linyuan Xia, Jingchao Xia, Qianxia Li, Hongyu Zhu, and Yuezhen Cai. "Smartphone-Based Pedestrian Dead Reckoning for 3D Indoor Positioning." Sensors 21, no. 24 (2021): 8180. http://dx.doi.org/10.3390/s21248180.

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Indoor localization based on pedestrian dead reckoning (PDR) is drawing more and more attention of researchers in location-based services (LBS). The demand for indoor localization has grown rapidly using a smartphone. This paper proposes a 3D indoor positioning method based on the micro-electro-mechanical systems (MEMS) sensors of the smartphone. A quaternion-based robust adaptive cubature Kalman filter (RACKF) algorithm is proposed to estimate the heading of pedestrians based on magnetic, angular rate, and gravity (MARG) sensors. Then, the pedestrian behavior patterns are distinguished by det

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Sonchan, Pontakorn, Neeranut Ratchatanantakit, Nonnarit O-Larnnithipong, Malek Adjouadi, and Armando Barreto. "Interaction Glove for 3-D Virtual Environments Based on an RGB-D Camera and Magnetic, Angular Rate, and Gravity Micro-Electromechanical System Sensors." Information 16, no. 2 (2025): 127. https://doi.org/10.3390/info16020127.

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This paper presents the theoretical foundation, practical implementation, and empirical evaluation of a glove for interaction with 3-D virtual environments. At the dawn of the “Spatial Computing Era”, where users continuously interact with 3-D Virtual and Augmented Reality environments, the need for a practical and intuitive interaction system that can efficiently engage 3-D elements is becoming pressing. Over the last few decades, there have been attempts to provide such an interaction mechanism using a glove. However, glove systems are currently not in widespread use due to their high cost a

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Sonchan, Pontakorn, Neeranut Ratchatanantakit, Nonnarit O-larnnithipong, Malek Adjouadi, and Armando Barreto. "Benchmarking Dataset of Signals from a Commercial MEMS Magnetic–Angular Rate–Gravity (MARG) Sensor Manipulated in Regions with and without Geomagnetic Distortion." Sensors 23, no. 8 (2023): 3786. http://dx.doi.org/10.3390/s23083786.

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In this paper, we present the FIU MARG Dataset (FIUMARGDB) of signals from the tri-axial accelerometer, gyroscope, and magnetometer contained in a low-cost miniature magnetic–angular rate–gravity (MARG) sensor module (also known as magnetic inertial measurement unit, MIMU) for the evaluation of MARG orientation estimation algorithms. The dataset contains 30 files resulting from different volunteer subjects executing manipulations of the MARG in areas with and without magnetic distortion. Each file also contains reference (“ground truth”) MARG orientations (as quaternions) determined by an opti

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Hasanlu, M., and M. Danesh. "Sensor data fusion and cutting tool status recognition by k-means clustering." Maintenance, Reliability and Condition Monitoring 5, no. 1 (2025): 25–41. https://doi.org/10.21595/marc.2025.24728.

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In this study, a novel multi-sensory data fusion approach is developed for real-time tool wear condition monitoring during the turning process, addressing the limitations of single-sensor systems that often suffer from noise and uncertainty. By integrating data from four distinct sensors – machine vision, electrical current, accelerometer, and strain gauge – this method enhances the reliability and robustness of wear state identification. Key features extracted include the entropy of the workpiece’s surface texture via stationary wavelet transform, the time-frequency marginal integral of the m

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Guillot, Florian H., Peter G. Jacobs, Leah M. Wilson, et al. "Accuracy of the Dexcom G6 Glucose Sensor during Aerobic, Resistance, and Interval Exercise in Adults with Type 1 Diabetes." Biosensors 10, no. 10 (2020): 138. http://dx.doi.org/10.3390/bios10100138.

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The accuracy of continuous glucose monitoring (CGM) sensors may be significantly impacted by exercise. We evaluated the impact of three different types of exercise on the accuracy of the Dexcom G6 sensor. Twenty-four adults with type 1 diabetes on multiple daily injections wore a G6 sensor. Participants were randomized to aerobic, resistance, or high intensity interval training (HIIT) exercise. Each participant completed two in-clinic 30-min exercise sessions. The sensors were applied on average 5.3 days prior to the in-clinic visits (range 0.6–9.9). Capillary blood glucose (CBG) measurements

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Lien, Hung-Lin, and Jen-Yuan Chang. "Magnetic Reference Mark in a Linear Positioning System Generated by a Single Wiegand Pulse." Sensors 22, no. 9 (2022): 3185. http://dx.doi.org/10.3390/s22093185.

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A Wiegand sensor is composed of a strip of Wiegand wire and a pick-up coil. The research presented in this paper examines and characterizes the fast magnetization reversal in a Wiegand wire, which leads to changes in magnetic flux density in its pick-up coil to produce the so-called Wiegand pulse to be used as a reference mark in a linear positioning system. It was observed in this research that the magnitude and duration of the pulse voltage were independent of driving frequency, indicating that Wiegand effect sensors could be ideal for use as zero-speed transducers. The repeatability of the

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Odry, Ákos. "An Open-Source Test Environment for Effective Development of MARG-Based Algorithms." Sensors 21, no. 4 (2021): 1183. http://dx.doi.org/10.3390/s21041183.

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This paper presents an open-source environment for development, tuning, and performance evaluation of magnetic, angular rate, and gravity-based (MARG-based) filters, such as pose estimators and classification algorithms. The environment is available in both ROS/Gazebo and MATLAB/Simulink, and it contains a six-degrees of freedom (6 DOF) test bench, which simultaneously moves and rotates an MARG unit in the three-dimensional (3D) space. As the quality of MARG-based estimation becomes crucial in dynamic situations, the proposed test platform intends to simulate different accelerating and vibrati

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Liu, Bin, and Ben Zhong Tang. "Fluorescent Sensors." Macromolecular Rapid Communications 34, no. 9 (2013): 704. http://dx.doi.org/10.1002/marc.201300077.

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Mahanijah, Md Kamal, Anum Zuraimi Md Noar Nur, and Muhammad Sabri Aqil. "Development of Detection and Flood Monitoring Via Blynk Apps." Indonesian Journal of Electrical Engineering and Computer Science 10, no. 1 (2018): 361–70. https://doi.org/10.11591/ijeecs.v10.i1.pp361-370.

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Flash flood is a common disaster event occured at Jalan Ilmu 1/1, Universiti Teknologi MARA Shah Alam Campus when there is a heavily raindrops. This paper describes the development of prototype used for detection and monitoring purposes. Flash floods can lead to destruction of properties and infrastructures.This system is based on two NodeMCU based technology integrated using Blynk application (IOS or android). The wireless sensor network systems can help the citizens by detecting the water levels and give an early warning when a flood occurs faster and easy. Basically, there are two part of t

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Zainal Abidin, Ahmad Faizal, Mohamad Huzaimy Jusoh, and Syed Abdul Mutalib Al Junid. "Development of Low Power Anisotropic Magnetoresistive (AMR) Wireless Magnetometer for Earth’s Magnetic Field Measurement." Applied Mechanics and Materials 785 (August 2015): 714–18. http://dx.doi.org/10.4028/www.scientific.net/amm.785.714.

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Magnetometer is an instrument to measure Earth’s magnetic field magnitude. Microelectromechanical system (MEMS) magnetic sensor is implemented in the device system since it consists of multi-axis magnetic field sensing driven in a single microchip physical scale at low power consumption. The magnetometer is equipped with built-in data logger system as an automatic data storage system to overcome data loss. The Anisotropic Magnetoresistive (AMR) sensor is the best MEMS magnetometer sensors, since it consumes low power (3.3Vdc), small physical size (less than 8.1mm3) and considerable 200nT resol

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Kosowatz, John. "High-Tech Eyes." Mechanical Engineering 139, no. 03 (2017): 36–41. http://dx.doi.org/10.1115/1.2017-mar-2.

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This article provides an overview of high-tech sensors, visual detection software, and mobile computing power applications, which are being developed to enable visually impaired people to navigate. By adapting technology developed for robots, automobiles, and other products, researchers and developers are creating wearable devices that can aid the visually impaired as they navigate through their daily routines—even identifying people and places. The Eyeronman system, developed by NYU’s Visuomotor Integration Laboratory and Tactile Navigation Tools, combines a sensor-laden outer garment or belt

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Hindle, Benjamin R., Justin W. L. Keogh, and Anna V. Lorimer. "Validation of Spatiotemporal and Kinematic Measures in Functional Exercises Using a Minimal Modeling Inertial Sensor Methodology." Sensors 20, no. 16 (2020): 4586. http://dx.doi.org/10.3390/s20164586.

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This study proposes a minimal modeling magnetic, angular rate and gravity (MARG) methodology for assessing spatiotemporal and kinematic measures of functional fitness exercises. Thirteen healthy persons performed repetitions of the squat, box squat, sandbag pickup, shuffle-walk, and bear crawl. Sagittal plane hip, knee, and ankle range of motion (ROM) and stride length, stride time, and stance time measures were compared for the MARG method and an optical motion capture (OMC) system. The root mean square error (RMSE), mean absolute percentage error (MAPE), and Bland–Altman plots and limits of

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Staal, Odd, Heidi Hansen, Sverre Christiansen, Anders Fougner, Sven Carlsen, and Øyvind Stavdahl. "Differences Between Flash Glucose Monitor and Fingerprick Measurements." Biosensors 8, no. 4 (2018): 93. http://dx.doi.org/10.3390/bios8040093.

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Freestyle Libre (FL) is a factory calibrated Flash Glucose Monitor (FGM). We investigated Mean Absolute Relative Difference (MARD) between Self Monitoring of Blood Glucose (SMBG) and FL measurements in the first day of sensor wear in 39 subjects with Type 1 diabetes. The overall MARD was 12.3%, while the individual MARDs ranged from 4% to 25%. Five participants had a MARD ≥ 20%. We estimated bias and lag between the FL and SMBG measurements. The estimated biases range from −1.8 mmol / L to 1.4 mmol / L , and lags range from 2 min to 24 min . Bias is identified as a main cause of poor individua

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Ji, Linong, Xiaohui Guo, Lixin Guo, Qian Ren, Nan Yu, and Jie Zhang. "A Multicenter Evaluation of the Performance and Usability of a Novel Glucose Monitoring System in Chinese Adults With Diabetes." Journal of Diabetes Science and Technology 11, no. 2 (2016): 290–95. http://dx.doi.org/10.1177/1932296816662884.

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Objective: Flash glucose monitoring is a new glucose sensing technique that measures interstitial glucose levels for up to 14 days and does not require any calibration. The aim of this study is to evaluate the performance of the new system in Chinese patients with diabetes. Methods: A multicenter, prospective, masked study was performed in a total of 45 subjects with diabetes. Subjects wore 2 sensors at the same time, for up to 14 days. The accuracy was evaluated against capillary blood glucose (BG) and venous Yellow Springs Instrument (YSI; Yellow Springs, OH) measurements. During all 14 days

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