Validation of a model-based inverse kinematics approach based on wearable inertial sensors

References

• Arnold EM, Ward SR, Lieber RL, Delp SL. 2010. A model of the lower limb for analysis of human movement. Ann Biomed Eng. 38(2):269–279.
   PubMed Web of Science ®Google Scholar
• Borbély BJ, Szolgay P. 2017. Real-time inverse kinematics for the upper limb: a model-based algorithm using segment orientations. Biomed Eng Online. 16(1):21.
   PubMedGoogle Scholar
• Cappozzo A, Catani F, Della Croce U, Leardini A. 1995. Position and orientation in space of bones during movement: anatomical frame definition and determination. Clin Biomech. 10(4):171–178.
   PubMed Web of Science ®Google Scholar
• Cappozzo A, Della Croce U, Leardini A, Chiari L. 2005. Human movement analysis using stereophotogrammetry. part 1: theoretical background. Gait Posture. 21(2):186–196.
   PubMed Web of Science ®Google Scholar
• Clement J, Dumas R, Hagemeister N, De Guise JA. 2015. Soft tissue artifact compensation in knee kinematics by multi-body optimization: performance of subject-specific knee joint models. J Biomech. 48(14):3796–3802.
   PubMed Web of Science ®Google Scholar
• Cuesta-Vargas AI, Galán-Mercant A, Williams JM. 2010. The use of inertial sensors system for human motion analysis. Phys Ther Rev. 15(6):462–473.
   PubMedGoogle Scholar
• Davis RB, Ounpuu S, Tyburski D, Gage JR. 1991. A gait analysis data collection and reduction technique. Hum Mov Sci. 10(5):575–587.
   Web of Science ®Google Scholar
• Delp SL, Anderson FC, Arnold AS, Loan P, Habib A, John CT, Guendelman E, Thelen DG. 2007. Opensim: open-source software to create and analyze dynamic simulations of movement. IEEE Trans Biomed Eng. 54(11):1940–1950.
   PubMed Web of Science ®Google Scholar
• Di Marco R, Rossi S, Castelli E, Patanè F, Mazzà C, Cappa P. 2017. Effects of the calibration procedure on the metrological performances of stereophotogrammetric systems for human movement analysis. Measurement. 101265–271.
   Web of Science ®Google Scholar
• Diebel J. 2006. Representing attitude: Euler angles, unit quaternions, and rotation vectors. Matrix. 58(15–16):1–35.
   Google Scholar
• Duprey S, Cheze L, Dumas R. 2010. Influence of joint constraints on lower limb kinematics estimation from skin markers using global optimization. J Biomech. 43(14):2858–2862.
   PubMed Web of Science ®Google Scholar
• Favre J, Luthi F, Jolles B, Siegrist O, Najafi B, Aminian K. 2006. A new ambulatory system for comparative evaluation of the three-dimensional knee kinematics, applied to anterior cruciate ligament injuries. Knee Surg Sports Traumatol Arthrosc. 14(7):592–604.
   PubMed Web of Science ®Google Scholar
• Ferrari A, Benedetti MG, Pavan E, Frigo C, Bettinelli D, Rabuffetti M, Crenna P, Leardini A. 2008. Quantitative comparison of five current protocols in gait analysis. Gait Posture. 28(2):207–216.
   PubMed Web of Science ®Google Scholar
• Grood ES, Suntay WJ. 1983. A joint coordinate system for the clinical description of three-dimensional motions: application to the knee. J Biomech Eng. 105(2):136–144.
   PubMed Web of Science ®Google Scholar
• Kadaba MP, Ramakrishnan H, Wootten M. 1990. Measurement of lower extremity kinematics during level walking. J Orthop Res. 8(3):383–392.
   PubMed Web of Science ®Google Scholar
• Kainz H, Modenese L, Lloyd DG, Maine S, Walsh H, Carty C. 2016. Joint kinematic calculation based on clinical direct kinematic versus inverse kinematic gait models. J Biomech. 49(9):1658–1669.
   PubMed Web of Science ®Google Scholar
• Karatsidis A, Jung M, Schepers HM, Bellusci G, de Zee M, Veltink PH, Andersen MS. 2018. Predicting kinetics using musculoskeletal modeling and inertial motion capture. arXiv preprint arXiv:180101668.
   Google Scholar
• Khaleghi B, Khamis A, Karray FO, Razavi SN. 2013. Multisensor data fusion: a review of the state-of-the-art. Information Fusion. 14(1):28–44.
   Web of Science ®Google Scholar
• Koning BH, van der Krogt MM, Baten CT, Koopman BF. 2015. Driving a musculoskeletal model with inertial and magnetic measurement units. Comput Methods Biomech Biomed Eng. 18(9):1003–1013.
   PubMed Web of Science ®Google Scholar
• Kortier HG, Sluiter VI, Roetenberg D, Veltink PH. 2014. Assessment of hand kinematics using inertial and magnetic sensors. J Neuroeng Rehabil. 11(1):70
   PubMedGoogle Scholar
• Lamberto G, Martelli S, Cappozzo A, Mazzà C. 2016. To what extent is joint and muscle mechanics predicted by musculoskeletal models sensitive to soft tissue artefacts? J Biomech. 62:68–76.
   PubMed Web of Science ®Google Scholar
• Ligorio G, Bergamini E, Pasciuto I, Vannozzi G, Cappozzo A, Sabatini AM. 2016. Assessing the performance of sensor fusion methods: application to magnetic-inertial-based human body tracking. Sensors (Basel). 16(2):153
   PubMed Web of Science ®Google Scholar
• Liu K, Liu T, Shibata K, Inoue Y. 2009. Ambulatory measurement and analysis of the lower limb 3D posture using wearable sensor system. Procccedings of International Conference on Mechatronics and Automation, ICMA 2009. IEEE. p. 3065–3069.
   Google Scholar
• Lu T-W, O’Connor JJ. 1999. Bone position estimation from skin marker co-ordinates using global optimisation with joint constraints. J Biomech. 32(2):129–134.
   PubMed Web of Science ®Google Scholar
• Mazzà C, Donati M, McCamley J, Picerno P, Cappozzo A. 2012. An optimized Kalman filter for the estimate of trunk orientation from inertial sensors data during treadmill walking. Gait Posture. 35(1):138–142.
   PubMed Web of Science ®Google Scholar
• Palermo E, Rossi S, Marini F, Patané F, Cappa P. 2014. Experimental evaluation of accuracy and repeatability of a novel body-to-sensor calibration procedure for inertial sensor-based gait analysis. Measurement. 52:145–155.
   Web of Science ®Google Scholar
• Picerno P. 2017. 25 years of lower limb joint kinematics by using inertial and magnetic sensors: a review of methodological approaches. Gait Posture. 51:239–246.
   PubMed Web of Science ®Google Scholar
• Pizzolato C, Reggiani M, Saxby DJ, Ceseracciu E, Modenese L, Lloyd DG. 2017. Biofeedback for gait retraining based on real-time estimation of tibiofemoral joint contact forces. IEEE Trans Neural Syst Rehabil Eng. 25(9):1612–1621.
   PubMed Web of Science ®Google Scholar
• Saxby DJ, Bryant AL, Modenese L, Gerus P, Killen BA, Konrath J, Fortin K, Wrigley TV, Bennell KL, Cicuttini FM, et al. 2016. Tibiofemoral contact forces in the anterior cruciate ligament-reconstructed knee. Med Sci Sports Exerc. 48(11):2195–2206.
   PubMed Web of Science ®Google Scholar
• Seel T, Raisch J, Schauer T. 2014. IMU-based joint angle measurement for gait analysis. Sensors (Basel). 14(4):6891–6909.
   PubMed Web of Science ®Google Scholar
• Sherman MA, Seth A, Delp SL. 2011. Simbody: multibody dynamics for biomedical research. Procedia Iutam. 2241–261.
   PubMedGoogle Scholar
• Van den Bogert AJ, Geijtenbeek T, Even-Zohar O, Steenbrink F, Hardin EC. 2013. A real-time system for biomechanical analysis of human movement and muscle function. Med Biol Eng Comput. 51(10):1069–1077.
   PubMed Web of Science ®Google Scholar
• Van den Noort JC, Ferrari A, Cutti AG, Becher JG, Harlaar J. 2013. Gait analysis in children with cerebral palsy via inertial and magnetic sensors. Med Biol Eng Comput. 51(4):377–386.
   PubMed Web of Science ®Google Scholar
• Van den Noort JC, Kortier HG, van Beek N, Veeger DH, Veltink PH. 2016. Measuring 3d hand and finger Kinematics: a comparison between inertial sensing and an opto-electronic marker system. PLoS One. 11(11):e0164889
   PubMed Web of Science ®Google Scholar
• Winter DA. 2009. Biomechanics and motor control of human movement. New York: John Wiley & Sons.
   Google Scholar
• Wu G, Siegler S, Allard P, Kirtley C, Leardini A, Rosenbaum D, Whittle M, D’Lima DD, Cristofolini L, Witte H, et al. 2002. ISB recommendation on definitions of joint coordinate system of various joints for the reporting of human joint motion part I: ankle, hip, and spine. J Biomech. 35(4):543–548,
   PubMed Web of Science ®Google Scholar