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Academic literature on the topic 'Magneto-inertial sensors'

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Published: 25 May 2024

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Journal articles on the topic "Magneto-inertial sensors"

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Germanotta, Marco, Ilaria Mileti, Ilaria Conforti, Zaccaria Del Prete, Irene Aprile, and Eduardo Palermo. "Estimation of Human Center of Mass Position through the Inertial Sensors-Based Methods in Postural Tasks: An Accuracy Evaluation." Sensors 21, no. 2 (January 16, 2021): 601. http://dx.doi.org/10.3390/s21020601.

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The estimation of the body’s center of mass (CoM) trajectory is typically obtained using force platforms, or optoelectronic systems (OS), bounding the assessment inside a laboratory setting. The use of magneto-inertial measurement units (MIMUs) allows for more ecological evaluations, and previous studies proposed methods based on either a single sensor or a sensors’ network. In this study, we compared the accuracy of two methods based on MIMUs. Body CoM was estimated during six postural tasks performed by 15 healthy subjects, using data collected by a single sensor on the pelvis (Strapdown Integration Method, SDI), and seven sensors on the pelvis and lower limbs (Biomechanical Model, BM). The accuracy of the two methods was compared in terms of RMSE and estimation of posturographic parameters, using an OS as reference. The RMSE of the SDI was lower in tasks with little or no oscillations, while the BM outperformed in tasks with greater CoM displacement. Moreover, higher correlation coefficients were obtained between the posturographic parameters obtained with the BM and the OS. Our findings showed that the estimation of CoM displacement based on MIMU was reasonably accurate, and the use of the inertial sensors network methods should be preferred to estimate the kinematic parameters.
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Crabolu, M., D. Pani, L. Raffo, and A. Cereatti. "Estimation of the center of rotation using wearable magneto-inertial sensors." Journal of Biomechanics 49, no. 16 (December 2016): 3928–33. http://dx.doi.org/10.1016/j.jbiomech.2016.11.046.

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Horenstein, Rachel E., Yohann R. Goudeau, Cara L. Lewis, and Sandra J. Shefelbine. "Using Magneto-Inertial Measurement Units to Pervasively Measure Hip Joint Motion during Sports." Sensors 20, no. 17 (September 2, 2020): 4970. http://dx.doi.org/10.3390/s20174970.

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The use of wireless sensors to measure motion in non-laboratory settings continues to grow in popularity. Thus far, most validated systems have been applied to measurements in controlled settings and/or for prescribed motions. The aim of this study was to characterize adolescent hip joint motion of elite-level athletes (soccer players) during practice and recreationally active peers (controls) in after-school activities using a magneto-inertial measurement unit (MIMU) system. Opal wireless sensors (APDM Inc., Portland OR, USA) were placed at the sacrum and laterally on each thigh (three sensors total). Hip joint motion was characterized by hip acceleration and hip orientation for one hour of activity on a sports field. Our methods and analysis techniques can be applied to other joints and activities. We also provide recommendations in order to guide future work using MIMUs to pervasively assess joint motions of clinical relevance.
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Rossanigo, R., S. Bertuletti, V. Camomilla, A. Orejel Bustos, C. Agresta, J. Zendler, M. Risatti, A. Sanfelici, and A. Cereatti. "Estimation of running biomechanical parameters using magneto-inertial sensors: a preliminary investigation." Gait & Posture 97 (October 2022): 38–39. http://dx.doi.org/10.1016/j.gaitpost.2022.09.063.

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Wells, Denny, Jacqueline Alderson, Valentina Camomilla, Cyril Donnelly, Bruce Elliott, and Andrea Cereatti. "Elbow joint kinematics during cricket bowling using magneto-inertial sensors: A feasibility study." Journal of Sports Sciences 37, no. 5 (September 3, 2018): 515–24. http://dx.doi.org/10.1080/02640414.2018.1512845.

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NAITO, Hisashi, Kodai SEKINE, Yuga IWAKIRI, and Shinobu TANAKA. "Calibration method of wearable magneto-inertial sensors for measurement of human body movement." Proceedings of Conference of Hokuriku-Shinetsu Branch 2019.56 (2019): D034. http://dx.doi.org/10.1299/jsmehs.2019.56.d034.

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Aman, E. E. "Development of constructive-kinematic model of micromechanical accelerometers." Issues of radio electronics, no. 10 (October 31, 2019): 17–20. http://dx.doi.org/10.21778/2218-5453-2019-10-17-20.

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The article discusses the problem of improving the quality and competitiveness of MEMS based on the structural kinematic model built on new physical principles and laws. The relevancy is conditioned by Decree of the Government of the Russian Federation No.328 dated 15 April 2014 «On Approval of the State Program of the Russian Federation «Development of Industry and Improvement of its Competitive Ability». Russian MEMS-sensors, being part of import substitution, need a wide nomenclature of sensitive elements differing by construction principles, with an option of using the domestic element base and a partial refusal from conventional decisions. An example of the said solutions is a «converted» power sensor operating in the self-oscillations mode, which has simplified engineering manufacture solutions and guaranteed high power characteristics. The paper discusses algorithm for development of constructive-kinematic model of primary inertial sensor with magneto-electric or electro-magnetic compensatory converter.
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Koskov, M. A., and A. S. Ivanov. "Magnetic system of uniaxial inertial ferrofluid accelerometer." Vestnik IGEU, no. 6 (December 28, 2022): 26–36. http://dx.doi.org/10.17588/2072-2672.2022.6.026-036.

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Today, a physical problem of engineering design of inertial magnetic fluid accelerometers to measure dynamic processes is relevant. The main drawback of modern sensors is the nonlinear characteristic of the forced response, which limits the application area of the sensors to the case of quasi-static action (tilt angle sensor). The reason of nonlinearity is the design of the magneto-mechanical system of the elastic suspension of the inertial mass made in the form of a pair of permanent ring magnets. This drawback can be eliminated by designing an axisymmetric electromagnetic system that generates a magnetic field with a linear intensity gradient along the symmetry axis. Thus, the paper is devoted to this problem and experimental approvement of the results on a laboratory sensor prototype. The Monte Carlo algorithm is used to calculate electromagnetic system containing permanent magnets and magnetizing coils. The algorithm is implemented using the C++ programming language. Measurements of the most important parameters of the magnetic field from the point of view of the purpose of the study are carried out on the assembled model of the electromagnetic system of the accelerometer. The calculation of electromagnetic system that generate permanent magnetic field with linear intensity gradient along the symmetry axis is carried out. The applicability of the Monte Carlo method to solve similar engineering problems is shown. The measurements of the magnetic field strength of a given configuration have been made. The force of the magnetic field acting on the test sensitive element with a constant magnetic moment is measured. A comparison of the calculated magnetic field with the field of a real system is carried out. It shows satisfactory agreement between the calculated data and the real ones. A linear dependence of the restoring force on the displacement coordinate of a body with a constant magnetic moment from the equilibrium position is shown. The linearization of the response of the mechanical part of the magnetic fluid accelerometer is achieved by choosing the desired configuration of its electromagnetic system, which allows making reliable measurements of both static and dynamic quantities.
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Bouvier, B., A. Savescu, S. Duprey, and R. Dumas. "Benefits of functional calibration for estimating elbow joint angles using magneto-inertial sensors: preliminary results." Computer Methods in Biomechanics and Biomedical Engineering 17, sup1 (July 30, 2014): 108–9. http://dx.doi.org/10.1080/10255842.2014.931444.

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Cockcroft, John, Jacobus Muller, and Cornie Scheffer. "Robust tracking of bicycle crank angles using magneto-inertial sensors, domain constraints and functional frame alignment techniques." Proceedings of the Institution of Mechanical Engineers, Part P: Journal of Sports Engineering and Technology 232, no. 1 (July 25, 2016): 5–14. http://dx.doi.org/10.1177/1754337116652048.

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Dissertations / Theses on the topic "Magneto-inertial sensors"

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CARUSO, MARCO. "Methods and good practice guidelines for human joint kinematics estimation through magnetic and inertial wearable sensors." Doctoral thesis, Politecnico di Torino, 2022. https://hdl.handle.net/11583/2970512.

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According to the World Health Organization, the ability to move is recognized as a key factor for the human well-being. From the wearable Magnetic and Inertial Measurement Units (MIMUs) signals it is possible to extract several digital mobility outcomes including the joint kinematics. To this end, it is first required to estimate the orientation of the MIMUs by means of a sensor fusion algorithm (SFA). After that, the relative orientation is computed and then decomposed to obtain the joint angles. However, the MIMUs do not provide a direct output of the physical quantity of interest which can be only determined after an ad hoc processing of their signals. It follows that the joint angle accuracy mostly depends on multiple factors. The first one is the magnitude of the MIMU measurements errors and up to date there is still a lack of methods for their characterization. A second crucial factor is the choice of the SFA to use. Despite the abundance of formulations in the literature, no-well established conclusions about their accuracy have been reached yet. The last factor is the biomechanical model used to compute the joint angles. In this context, unconstrained methods offer a simple way to decompose the relative orientation using the Euler angles but suffer from the inherent issues related to the SFA. In contrast, constrained approaches aim at increasing the robustness of the estimates by adopting models in which an objective function is minimized through the definition of physiological constraints. This thesis proposed the methods to accurately estimate the human joint kinematics starting from the MIMU signals. Three main contributions were provided. The first consisted in the design of a comprehensive battery of tests to completely characterize the sources of errors affecting the quality of the measurements. These tests rely on simple hypotheses based on the sensor working principles and do not require expensive equipment. Nine parameters were defined to quantify the signal accuracy improvements (if any) of 24 MIMUs before and after the refinement of their calibration coefficients. The second contribution was focused on the SFAs. Ten among the most popular SFAs were compared under different experimental conditions including different MIMU models and rotation rate magnitudes. To perform a “fair” comparison it was necessary to set the optimal parameter values for each SFA. The most important finding was that all the errors fall within a range from 3.8 deg to 7.1 deg thus making it impossible to draw any conclusions about the best performing SFA since no statistically significant differences were found. In addition, the orientation accuracy was heavily influenced by the experimental variables. After that, a novel method was designed to estimate the suboptimal parameter values of a given SFA without relying on any orientation reference. The maximum difference between the errors obtained using optimal and suboptimal parameter values amounted to 3.7 deg and to 0.6 deg on average. The last contribution consisted in the design of an unconstrained and a constrained methods for estimating the joint kinematics without considering the magnetometer to avoid the ferromagnetic disturbances. The unconstrained method was employed in a telerehabilitation platform in which the joint angles were estimated in real time. Errors collected during the execution of a full-body protocol were lower than 5 deg (considered the acceptability threshold). However, this method may be inaccurate after few minutes since no solutions can be taken to mitigate the drift error. To overcome this limitation a constrained method was developed based on a robotic model of the upper limb to set appropriate constraints. Errors relative to a continuous robot motion for twenty minutes were lower than 3 deg at most suggesting the feasibility of employing these solutions in the rehabilitation programs to properly plan the treatment and to accurately evaluate the outcomes.
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Fourniol, Manon. "Traitement embarqué de signaux issus de capteurs pour les systèmes de réveil acoustiques et les dispositifs magnéto-inertiels de capture de mouvement." Electronic Thesis or Diss., Aix-Marseille, 2020. http://www.theses.fr/2020AIXM0595.

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Ces travaux de thèse portent sur le traitement embarqué de signaux issus de capteurs pour les systèmes de réveil acoustiques et les dispositifs magnéto-inertiels de capture du mouvement. Le manuscrit est ainsi découpé en deux parties. La première concerne le traitement embarqué analogique du signal pour la mise en oeuvre de systèmes de réveil acoustiques dédiés à l’enregistrement de signaux ultrasonores pour l'écoute d’espèces animales. En effet, l’enregistrement en continu limite grandement l’autonomie de ces enregistreurs, tant du point de vue de l’énergie que du stockage. Ainsi, deux implémentations d’un système de réveil acoustique ont été réalisées sur circuits-imprimés : l’une basée sur le module CTMU des microcontrôleurs « PIC24F », et l’autre reproduisant la même structure sans composant programmable. Enfin, une dernière implémentation a été réalisée en technologie intégrée CMOS 0,35μm et étudiée à l’aide de simulations. La deuxième partie concerne quant à elle le traitement embarqué logiciel pour la mise en oeuvre de dispositifs magnéto-inertiels de capture du mouvement utilisables à domicile, dédiés à l’évaluation de la mobilité et à la rééducation. Pour cela, un dispositif communicant de type bracelet, contenant un accéléromètre, un gyroscope et un magnétomètre est ici envisagé. Plusieurs algorithmes comme le filtre de Kalman et le filtre complémentaire, pour différentes combinaisons de capteurs, ont été étudiés. Des tests ont été effectués sur un bras robotique et sur des patients et les résultats obtenus sont comparés à un système de capture du mouvement de référence
This thesis focuses on embedded sensor signal processing for acoustic wake-up systems and magneto-inertial motion capture devices. This work is thus divided in two parts. The first one is about embedded analog signal processing for the implementation of acoustic wake-up systems dedicated to the recording of ultrasonic signals. This is why, in order to increase autonomy of energy and storage, it is proposed here, like radiofrequency wake-up systems used in wireless communications systems, to implement a wake-up system triggering to record only when a frequency belonging to specific species is detected. This system has been implemented on two printed circuit boards : one based on the « Charge Time Measurement Unit » implemented in « PIC24F » microcontrollers, and the other reproducing the same structure without any programmable component. Finally, another implementation of the integrated structure using CMOS 0.35μm technology has been studied with simulations. The second one is about embedded software signal processing for magneto-inertial motion capture devices that can be used at home and dedicated to mobility assessment and rehabilitation. For this, a wireless wristband containing accelerometer, gyroscope and magnetometer sensors can be used. To verify the usability of this device, several algorithms such as the Kalman filter and the complementary filter, as well as different combinations of sensors, were studied. Tests have been performed on a robotic arm and on patients, for flexion-extension movements between two specific positions
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Book chapters on the topic "Magneto-inertial sensors"

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Podobnik, Janez, Marko Munih, and Matjaž Mihelj. "Magneto-Inertial Data Sensory Fusion Based on Jacobian Weighted-Left-Pseudoinverse." In Advances in Robot Kinematics 2020, 174–81. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-50975-0_22.

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Conference papers on the topic "Magneto-inertial sensors"

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Gastaldi, L., V. Rosso, V. Gabola, V. Agostini, M. M. Lovagnini Frutos, M. Knaflitz, R. Takeda, and S. Tadano. "Technical challenges using magneto-inertial sensors for gait analysis." In 2016 IEEE International Symposium on Medical Measurements and Applications (MeMeA). IEEE, 2016. http://dx.doi.org/10.1109/memea.2016.7533746.

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Cereatti, Andrea, Diana Trojaniello, and Ugo Della Croce. "Accurately measuring human movement using magneto-inertial sensors: techniques and challenges." In 2015 IEEE International Symposium on Inertial Sensors and Systems (ISISS). IEEE, 2015. http://dx.doi.org/10.1109/isiss.2015.7102390.

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Noccaro, A., F. Cordella, L. Zollo, G. Di Pino, E. Guglielmelli, and D. Formica. "A teleoperated control approach for anthropomorphic manipulator using magneto-inertial sensors." In 2017 26th IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN). IEEE, 2017. http://dx.doi.org/10.1109/roman.2017.8172295.

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Crabolu, Michele, Danilo Pani, and Andrea Cereatti. "Evaluation of the accuracy in the determination of the center of rotation by magneto-inertial sensors." In 2016 IEEE Sensors Applications Symposium (SAS). IEEE, 2016. http://dx.doi.org/10.1109/sas.2016.7479898.

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Taffoni, F., G. Piervirgili, D. Formica, and E. Guglielmelli. "An alignment procedure for ambulatory measurements of lower limb kinematic using magneto-inertial sensors." In 2011 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE, 2011. http://dx.doi.org/10.1109/iembs.2011.6090281.

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Ricci, L., D. Formica, E. Tamilia, F. Taffoni, L. Sparaci, O. Capirci, and E. Guglielmelli. "An experimental protocol for the definition of upper limb anatomical frames on children using magneto-inertial sensors." In 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). IEEE, 2013. http://dx.doi.org/10.1109/embc.2013.6610647.

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Caruso, M., A. M. Sabatini, M. Knaflitz, M. Gazzoni, U. Della Croce, and A. Cereatti. "Accuracy of the Orientation Estimate Obtained Using Four Sensor Fusion Filters Applied to Recordings of Magneto-Inertial Sensors Moving at Three Rotation Rates." In 2019 41st Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC). IEEE, 2019. http://dx.doi.org/10.1109/embc.2019.8857655.

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Gao, Lu, Xiang Xu, Suiqiong Li, Dacheng Xu, and Yingfei Yao. "Micro Acceleration Measurement System Based On Highly-Sensitive Tunnel Magneto-Resistance Sensor." In 2019 IEEE International Symposium on Inertial Sensors and Systems (INERTIAL). IEEE, 2019. http://dx.doi.org/10.1109/isiss.2019.8739736.

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Caruso, David, Martial Sanfourche, Guy Le Besnerais, and David Vissiere. "Infrastructureless indoor navigation with an hybrid magneto-inertial and depth sensor system." In 2016 International Conference on Indoor Positioning and Indoor Navigation (IPIN). IEEE, 2016. http://dx.doi.org/10.1109/ipin.2016.7743690.

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Savescu, Adriana, Isabelle Urmes, Gilles Reno, Olivier Remy, Olivier Morel, and Kévin Desbrosses. "Collaborative robotics: analysis of influence of the tool and the characteristics of the task on the upper limbs joint angles and task precision." In 13th International Conference on Applied Human Factors and Ergonomics (AHFE 2022). AHFE International, 2022. http://dx.doi.org/10.54941/ahfe1002182.

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Industrial challenges described in the Industry 4.0 projects are focused on the importance of the human in a collaboration with the system and particularly with a robot. In this case, the collaborative robotics situation is analysed. By understanding the constraints and the capabilities of workers, the robot-human collaboration can be designed in accordance with the companies need. Moreover, collaborative robotics, and in particular restrained free physical assistance robot (Cobot), is presented as a possible solution in order to reduce work related musculoskeletal disorders. Scientific literature on this field is very limited and in field solutions have not yet been deployed on a large scale. In this context, the aim of this contribution was to analyse joint angles of the upper limbs and the precision of the task with regard with the tool (traditional grinding tool or cobot) and different characteristics of the task (required force level and movement direction) during industrial grinding. Five professional grinders were asked to perform grinding tasks, on the horizontal plane and two levels of force (F1 = 35N, F2 = 70N). The height of the fixing device of the workpiece was adjustable (to take into account the anthropometry of the subject). The task was exerted at a given speed (10 mm/s). A force plate was used to collect the forces applied by the participants during the experiment and a real time visual feedback (led light) was given to the participant to inform him about the exerted force level. This experiment was carried out under two conditions: manually (traditional grinding using a manual grinding wheel) and assisted by a Cobot. The inter-segmental angles were estimated using a magneto-inertial sensors system. To identify links between the mean of each joint angle of the upper arm (8 degrees of freedom: flexion/extension, abduction/adduction and rotation of the shoulder, flexion/extension and rotation of the elbow, flexion/extension, abduction/adduction and rotation of the hand) and the level of the exerted force and the used tool (traditional grinding tool and cobot), a linear mixed model was performed. The results showed that the tool has a significant influence on the flexion/extension and the rotation of the left shoulder, the rotation of the left and right wrist, the flexion of the left wrist and the rotation of the left elbow. No significant influence of the exerted force was identified. Moreover, there was no interaction between the used tool and the exerted force. These results show that the analysis of the task is of greater importance in the design the tool, for instance the cobot. In conclusion, it is necessary to consider the role of humans as earlier as possible in the design of a tool in order to create the best functional devices.
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