Human motion analysis and measurement techniques: current application and developing trend




Human motion analysis and measurement technology have been widely used in the fields of medical treatment, sports science, and rehabilitation. In clinical practice, motion analysis has been applied in the diagnosis and individualized treatment planning of various musculoskeletal diseases, and it is also an important objective scientific method to evaluate the therapeutic effect and the effectiveness of medical equipment. This study aimed to introduce the common modern motion capture measurement technology and equipment, the clinical application and limitations of motion analysis, and the possible development trend of motion analysis measuring techniques in the future. Motion analysis and measurement systems and medical image measurement and analysis technology have made landmark improvements over the past few decades in terms of orthopaedical biomechanics. Nevertheless, limitations still exist, both subjective and objective. All these drawbacks have promoted the exploration of the integrated methods that have now been widely used in motion analysis. The results of the case study about the subject-specific finite element modeling of the foot and sports shoe complex have also shown great consistency. Nevertheless, several possible future directions for motion analysis measuring techniques still exist. In the future, the progress of motion analysis and measurement methods will simultaneously drive the progress of orthopedics, rehabilitation, precision personalized medicine, and medical engineering.


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. K. Aggarwal, Q. Cai, Human Motion Analysis: A Review, Computer vision and image understanding, Vol. 73, 1999, pp. 428–440

D. Sun, G. Fekete, J. S. Baker, Y. Gu, Foot motion character during forward and backward walking with shoes and barefoot, Journal of Motor Behavior, Vol. 52, 2020, pp. 214–225

F. Patrona, A. Chatzitofis, D. Zarpalas, P. Daras, Motion analysis: Action detection, recognition and evaluation based on motion capture data, Pattern Recognition, Vol. 76, 2018, pp. 612–622

G. A. Bello, T. J. W. Dawes, J. Duan, C. Biffi, A. de Marvao, L. S. G. E. Howard, J. S. R. Gibbs, M. R. Wilkins, S. A. Cook, D. Rueckert, D. P. O’Regan, Deep-learning cardiac motion analysis for human survival prediction, Nature machine intelligence, Vol. 1, 2019, pp. 95–104

W. J. Sohn, R. Sipahi, T. D. Sanger, D. Sternad, Portable Motion-Analysis Device for Upper-Limb Research, Assessment, and Rehabilitation in Non-Laboratory Settings, IEEE Journal of Translational Engineering in Health and Medicine, Vol. 7, 2019, pp. 1–14

D. Shim, J. Y. Choi, S. Yi, E. S. Park, S. Kim, B. Yoo, D. Park, H. Park, D. Rha, Spatiotemporal parameters from instrumented motion analysis represent clinical measurement of upper limb function in children with cerebral palsy, Gait & Posture, Vol. 91, 2022, pp. 326–331

M. T. Parks, Z. Wang, K. C. Siu, Current Low-Cost Video-Based Motion Analysis Options for Clinical Rehabilitation: A Systematic Review, Physical therapy, Vol. 99, 2019, pp. 1405–1425

E. van der Kruk, M. M. Reijne, Accuracy of human motion capture systems for sport applications; state-of-the-art review, European journal of sport science, Vol. 18, 2018, pp. 806–819

D. C. Wierschem, J. A. Jimenez, F. A. Méndez Mediavilla, A motion capture system for the study of human manufacturing repetitive motions, The International Journal of Advanced Manufacturing Technology, Vol. 110, 2020, pp. 813–827

H. Hatze, High-precision three-dimensional photogrammetric calibration and object space reconstruction using a modified DLT-approach, Journal of biomechanics, Vol. 21, 1988, pp. 533–538

Y. Zhang, Z. Yao, S. Wang, W. Huang, L. Ma, H. Huang, H. Xia, Motion analysis of Chinese normal knees during gait based on a novel portable system, Gait & Posture, Vol. 41, 2015, pp. 763–768

Mr. Naeemabadi, B. Dinesen, O. K. Andersen, J. Hansen, Investigating the impact of a motion capture system on Microsoft Kinect v2 recordings: A caution for using the technologies together, PLoS One, Vol. 13, 2018, pp. e0204052

K. N. An, M. C. Jacobsen, L. J. Berglund, E. Y. S. Chao, Application of a magnetic tracking device to kinesiologic studies, Journal of biomechanics, Vol. 21, 1988, pp. 613–620

C. Verplaetse, Inertial proproceptive devices: Self-motion-sensing toys and tools, IBM Systems Journal, Vol. 35, 1996, pp. 639–650

Z. H. Kareem, K. N. bin Ramli, R. Q. Malik, M. M. A. Zahra, Mobile phone user behavior’s recognition using gyroscope sensor and ML algorithms, Materials Today: Proceedings, 2021

P. A. Torzilli, R. L. Greenberg, J. Insall, An in vivo biomechanical evaluation of anterior-posterior motion of the knee. Roentgenographic measurement technique, stress machine, and stable population, JBJS, Vol. 63, 1981, pp. 960–968

G. Selvik, Roentgen stereophotogrammetry: A method for the study of the kinematics of the skeletal system, Acta Orthopaedica Scandinavica, Vol. 60, 1989, pp. 1–51

R. A. Sherlock, W. M. Aitken, A method of precision position determination using X-ray stereography, Physics in Medicine & Biology, Vol. 25, 1980, pp. 349–355

M. A. Pritchett, S. Schampaert, J. A. H. de Groot, C. C. Schirmer, I. van der Bom, Cone-Beam CT With Augmented Fluoroscopy Combined With Electromagnetic Navigation Bronchoscopy for Biopsy of Pulmonary Nodules, Journal of bronchology & interventional pulmonology, Vol. 25, 2018, pp. 274–282

D. L. Miller, Overview of contemporary interventional fluoroscopy procedures, Health physics, Vol. 95, 2008, pp. 638–644

S. A. Banks, Model based 3D kinematic estimation from 2D perspective silhouettes: application with total knee prostheses, Massachusetts Institute of Technology, 1992

T. P. Wallace, P. A. Wintz, An efficient three-dimensional aircraft recognition algorithm using normalized fourier descriptors, Computer Graphics and Image Processing, Vol. 13, 1980, pp. 99–126

Laurentini, How far 3D shapes can be understood from 2D silhouettes, IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 17, 1995, pp. 188–195

G. Li, T. H. Wuerz, L. E. DeFrate, Feasibility of Using Orthogonal Fluoroscopic Images to Measure In Vivo Joint Kinematics, Journal of Biomechanical Engineering, Vo. 126, 2004, pp. 313–318

S. Tashman, W. Anderst, In-Vivo Measurement of Dynamic Joint Motion Using High Speed Biplane Radiography and CT: Application to Canine ACL Deficiency, Journal of Biomechanical Engineering, Vol. 125, 2003, pp. 238–245

R. J. de Asla, L. Wan, H. E. Rubash, G. Li, Six DOF in vivo kinematics of the ankle joint complex: Application of a combined dual-orthogonal fluoroscopic and magnetic resonance imaging technique, Journal of Orthopaedic Research, Vol. 24, 2006, pp. 1019–1027

Y. Zhang, J. Awrejcewicz, J. S. Baker, Y. Gu, Cartilage stiffness effect on foot biomechanics of Chinese bound foot: A finite element analysis, Frontiers in Physiology, Vol. 9, 2018, pp. 1434

Q. Zhang, T. Chon, Y. Zhang, J. S. Baker, Y. Gu, Finite element analysis of the lumbar spine in adolescent idiopathic scoliosis subjected to different loads, Computers in Biology and Medicine, Vol. 136, 2021, pp. 104745

L. Yu, Q. Mei, N. I. Mohamad, Y. Gu, J. Fernandez, An exploratory investigation of patellofemoral joint loadings during directional lunges in badminton, Computers in Biology and Medicine, Vol. 132, 2021, pp. 104302

Y. Song, F. Ren, D. Sun, M. Wang, J. S. Baker, B. István, Y. Gu, Benefits of exercise on influenza or pneumonia in older adults: a systematic review, International Journal of Environmental Research and Public Health, Vol. 17, 2020, pp. 2655

A. Sim, S. Mukherjee, Potential Low Energy Availability (LEA) risk amongst amateur and recreational athletes in Singapore, Physical Activity and Health, Vol. 5, 2021, pp. 166-177

Y. He, G. Fekete, The Effect of Cryotherapy on Balance Recovery at Different Moments after Lower Extremity Muscle Fatigue, Physical Activity and Health, Vol. 5, 2021, pp. 255-270

D. Sun, G. Fekete, J. S. Baker, Q. Mei, B. István, Y. Zhang, Y. Gu, A Pilot Study of Musculoskeletal Abnormalities in Patients in Recovery from a Unilateral Rupture-Repaired Achilles Tendon, International Journal of Environmental Research and Public Health, Vol. 17, 2020, pp. 4642

X. Jiang, H. Chen, D. Sun, J. S. Baker, Y. Gu, Running speed does not influence the asymmetry of kinematic variables of the lower limb joints in novice runners, Acta of Bioengineering and Biomechanics, Vol. 23, 2021, pp. 69–81




How to Cite

Song, Y., Sárosi, J., Cen, X., & Bíró, I. (2023). Human motion analysis and measurement techniques: current application and developing trend. Analecta Technica Szegedinensia, 17(2), 48–58.




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