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Computer Methods in Biomechanics and Biomedical Engineering Volume 24, 2021 - Issue 8
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Research Article

Artificial Intelligence-Assisted motion capture for medical applications: a comparative study between markerless and passive marker motion capture

Iwori TakedaDepartment of Mechanical Systems Engineering, School of Engineering, The University of Tokyo, Tokyo, JapanCorrespondence[email protected]
ORCID Iconhttps://orcid.org/0000-0003-4973-0429View further author information
ORCID Icon,
Atsushi YamadaDepartment of Mechanical Systems Engineering, School of Engineering, The University of Tokyo, Tokyo, JapanView further author information
&
Hiroshi OnoderaDepartment of Mechanical Systems Engineering, School of Engineering, The University of Tokyo, Tokyo, JapanView further author information
Pages 864-873 | Received 07 Jul 2020, Accepted 23 Nov 2020, Published online: 08 Dec 2020

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Kai Hsiao, Tung-Kuan Liu & Paul P. Lin. (2022) Markerless motion evaluation via OpenPose and fuzzy activity evaluator. Journal of the Chinese Institute of Engineers 45:8, pages 697-705.
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Giovanni Boschetti, Maurizio Faccio, Irene Granata & Riccardo Minto. (2023) 3D collision avoidance strategy and performance evaluation for human–robot collaborative systems. Computers & Industrial Engineering 179, pages 109225.
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Liang Jiang, Bo Huo, Qing Sun, Xue Chen & Xianzhi Gao. (2023) Intelligent training system for snowboard big air. Intelligent training system for snowboard big air.
Shibo Cai, Mingyu Shao, Mingyu Du, Guanjun Bao & Bingfei Fan. (2023) A Binocular-Camera-Assisted Sensor-to-Segment Alignment Method for Inertial Sensor-Based Human Gait Analysis. IEEE Sensors Journal 23:3, pages 2663-2671.
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Lucas D. Haberkamp, Micah C. Garcia & David M. Bazett-Jones. (2022) Validity of an artificial intelligence, human pose estimation model for measuring single-leg squat kinematics. Journal of Biomechanics 144, pages 111333.
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Michal Dolecki, Pawel Karczmarek, Lukasz Galka, Magdalena Zawadka, Jakub Smolka, Maria Skublewska-Paszkowska, Edyta Lukasik, Pawel Powroznik, Piotr Gawda & Dariusz Czerwinski. (2022) On the Detection of Anomalies with the Use of Choquet Integral and Their Interpretability in Motion Capture Data. On the Detection of Anomalies with the Use of Choquet Integral and Their Interpretability in Motion Capture Data.
Wei Su & Jian Feng. (2022) Research on Methods of Physical Aided Education Based on Deep Learning. Scientific Programming 2022, pages 1-13.
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Posen Lee, Tai-Been Chen, Chin-Hsuan Liu, Chi-Yuan Wang, Guan-Hua Huang & Nan-Han Lu. (2022) Identifying the Posture of Young Adults in Walking Videos by Using a Fusion Artificial Intelligent Method. Biosensors 12:5, pages 295.
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Logan Wade, Laurie Needham, Polly McGuigan & James Bilzon. (2022) Applications and limitations of current markerless motion capture methods for clinical gait biomechanics. PeerJ 10, pages e12995.
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Cortney Armitano-Lago, Dominic Willoughby & Adam W. Kiefer. (2022) A SWOT Analysis of Portable and Low-Cost Markerless Motion Capture Systems to Assess Lower-Limb Musculoskeletal Kinematics in Sport. Frontiers in Sports and Active Living 3.
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Luiz H. Palucci Vieira, Paulo R. P. Santiago, Allan Pinto, Rodrigo Aquino, Ricardo da S. Torres & Fabio A. Barbieri. (2022) Automatic Markerless Motion Detector Method against Traditional Digitisation for 3-Dimensional Movement Kinematic Analysis of Ball Kicking in Soccer Field Context. International Journal of Environmental Research and Public Health 19:3, pages 1179.
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Jindrich Adolf, Jaromir Dolezal, Patrik Kutilek, Jan Hejda & Lenka Lhotska. (2022) Single Camera-Based Remote Physical Therapy: Verification on a Large Video Dataset. Applied Sciences 12:2, pages 799.
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Peter P.K. Chan, Chao-Ying Chen, Hussein Ayache, Lobo Louie, Alan Lok, Nathan Cheung & Roy T.H. Cheung. (2022) Gait difference between children aged 9 to 12 with and without potential depressive mood. Gait & Posture 91, pages 126-130.
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Catherine P. Adans-Dester, Catherine E. Lang, David J. Reinkensmeyer & Paolo Bonato. 2022. Neurorehabilitation Technology. Neurorehabilitation Technology 467 507 .
Lucas D. Haberkamp, Micah C. Garcia & David M. Bazett-Jones. (2022) Validity of an Artificial Intelligence, Human Pose Estimation Model for Measuring Single-Leg Squat Kinematics. SSRN Electronic Journal.
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