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Статті в журналах з теми "Magneto-inertial measurement units"
Paloschi, Davide, Marco Bravi, Emiliano Schena, Sandra Miccinilli, Michelangelo Morrone, Silvia Sterzi, Paola Saccomandi, and Carlo Massaroni. "Validation and Assessment of a Posture Measurement System with Magneto-Inertial Measurement Units." Sensors 21, no. 19 (October 3, 2021): 6610. http://dx.doi.org/10.3390/s21196610.
Повний текст джерелаHorenstein, 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.
Повний текст джерелаZedda, A., E. Gusai, M. Caruso, S. Bertuletti, S. Spanu, A. Pibiri, M. Monticone, A. Cereatti, and D. Pani. "A home-based tele-rehabilitation system for stroke patients exploiting magneto-inertial measurement units." Gait & Posture 74 (September 2019): 37–38. http://dx.doi.org/10.1016/j.gaitpost.2019.07.499.
Повний текст джерелаNez, Alexis, Laetitia Fradet, Frédéric Marin, Tony Monnet, and Patrick Lacouture. "Identification of Noise Covariance Matrices to Improve Orientation Estimation by Kalman Filter." Sensors 18, no. 10 (October 16, 2018): 3490. http://dx.doi.org/10.3390/s18103490.
Повний текст джерелаGermanotta, 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.
Повний текст джерелаCottam, Daniel S., Amity C. Campbell, Mr Paul C. Davey, Peter Kent, Bruce C. Elliott, and Jacqueline A. Alderson. "Measurement of uni-planar and sport specific trunk motion using magneto-inertial measurement units: The concurrent validity of Noraxon and Xsens systems relative to a retro-reflective system." Gait & Posture 92 (February 2022): 129–34. http://dx.doi.org/10.1016/j.gaitpost.2021.11.012.
Повний текст джерелаJardak, Nabil, Ronan Adam, and Sébastien Changey. "A Gyroless Algorithm with Multi-Hypothesis Initialization for Projectile Navigation." Sensors 21, no. 22 (November 11, 2021): 7487. http://dx.doi.org/10.3390/s21227487.
Повний текст джерелаDe Bartolo, Daniela, Valeria Belluscio, Giuseppe Vannozzi, Giovanni Morone, Gabriella Antonucci, Gianluca Giordani, Stefania Santucci, et al. "Sensorized Assessment of Dynamic Locomotor Imagery in People with Stroke and Healthy Subjects." Sensors 20, no. 16 (August 13, 2020): 4545. http://dx.doi.org/10.3390/s20164545.
Повний текст джерелаProvenzale, Cecilia, Nicola Di Stefano, Alessia Noccaro, and Fabrizio Taffoni. "Assessing the Bowing Technique in Violin Beginners Using MIMU and Optical Proximity Sensors: A Feasibility Study." Sensors 21, no. 17 (August 29, 2021): 5817. http://dx.doi.org/10.3390/s21175817.
Повний текст джерелаParadisi, Francesco, Eugenio Di Stanislao, Aurora Summa, Stefano Brunelli, M. Traballesi, and Giuseppe Vannozzi. "Upper body accelerations during level walking in transtibial amputees." Prosthetics and Orthotics International 43, no. 2 (August 16, 2018): 204–12. http://dx.doi.org/10.1177/0309364618792745.
Повний текст джерелаДисертації з теми "Magneto-inertial measurement units"
Richard, Vincent. "Multi-body optimization method for the estimation of joint kinematics : prospects of improvement." Thesis, Lyon, 2016. http://www.theses.fr/2016LYSE1090/document.
Повний текст джерелаHuman movement analysis generally relies on skin markers monitoring techniques to reconstruct the joint kinematics. However, these acquisition techniques have important limitations including the "soft tissue artefacts" (i.e., the relative movement between the skin markers and the underlying bones). The multi-body optimization method aims to compensate for these artefacts by imposing the degrees of freedom from a predefined kinematic model to markers trajectories. The mechanical linkages typically used for modeling the joints however prevent a satisfactory estimate of the joint kinematics. This thesis addresses the prospects of improvement of the multi-body optimization method for the estimation of joint kinematics of the lower limb through different approaches: (1) the reconstruction of the kinematics by monitoring the angular velocity, the acceleration and the orientation of magneto-inertial measurement units instead of tracking markers, (2) the introduction of an elastic joint model based on the knee stiffness matrix, enabling a physiological estimation of joint kinematics and (3) the introduction of a "kinematic-dependent" soft tissue artefact model to assess and compensate for soft tissue artefact concurrently with estimating the joint kinematics. This work demonstrated the versatility of the multi-body optimization method. The results give hope for significant improvement in this method which is becoming increasingly used in biomechanics, especially for musculoskeletal modeling
Частини книг з теми "Magneto-inertial measurement units"
Cereatti, Andrea, Ugo Della Croce, and Angelo M. Sabatini. "Three-Dimensional Human Kinematic Estimation Using Magneto-Inertial Measurement Units." In Handbook of Human Motion, 221–44. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-14418-4_162.
Повний текст джерелаCereatti, Andrea, Ugo Della Croce, and Angelo M. Sabatini. "Three-Dimensional Human Kinematic Estimation Using Magneto-Inertial Measurement Units." In Handbook of Human Motion, 1–24. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-30808-1_162-1.
Повний текст джерелаТези доповідей конференцій з теми "Magneto-inertial measurement units"
Liu, Yu-Tao, Yong-An Zhang, and Ming Zeng. "Joint parameter estimation using Magneto and Inertial measurement units." In 2017 36th Chinese Control Conference (CCC). IEEE, 2017. http://dx.doi.org/10.23919/chicc.2017.8027688.
Повний текст джерелаRossanigo, Rachele, Marco Caruso, Francesca Salis, Stefano Bertuletti, Ugo Della Croce, and Andrea Cereatti. "An Optimal Procedure for Stride Length Estimation Using Foot-Mounted Magneto-Inertial Measurement Units." In 2021 IEEE International Symposium on Medical Measurements and Applications (MeMeA). IEEE, 2021. http://dx.doi.org/10.1109/memea52024.2021.9478604.
Повний текст джерелаPaloschi, Davide, Mario Cigada, Stefania Ballone, Omar De Bartolomeo, Alfredo Cigada, and Paola Saccomandi. "Analysis on the plié and grand plié in classical ballet with magneto-inertial measurement units." In 2022 IEEE International Workshop on Metrology for Industry 4.0 & IoT (MetroInd4.0&IoT). IEEE, 2022. http://dx.doi.org/10.1109/metroind4.0iot54413.2022.9831587.
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