A marker registration method to improve joint angles computed by constrained inverse kinematics.

Accurate computation of joint angles from optical marker data using inverse kinematics methods requires that the locations of markers on a model match the locations of experimental markers on participants. Marker registration is the process of positioning the model markers so that they match the loc...

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Auteurs principaux:	James J Dunne, Thomas K Uchida, Thor F Besier, Scott L Delp, Ajay Seth
Format:	article
Langue:	EN
Publié:	Public Library of Science (PLoS) 2021
Sujets:	Medicine R Science Q
Accès en ligne:	https://doaj.org/article/273e87e82d3f450c90e4ec9706c263f4
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id	oai:doaj.org-article:273e87e82d3f450c90e4ec9706c263f4
record_format	dspace
spelling	oai:doaj.org-article:273e87e82d3f450c90e4ec9706c263f42021-12-02T20:11:12ZA marker registration method to improve joint angles computed by constrained inverse kinematics.1932-620310.1371/journal.pone.0252425https://doaj.org/article/273e87e82d3f450c90e4ec9706c263f42021-01-01T00:00:00Zhttps://doi.org/10.1371/journal.pone.0252425https://doaj.org/toc/1932-6203Accurate computation of joint angles from optical marker data using inverse kinematics methods requires that the locations of markers on a model match the locations of experimental markers on participants. Marker registration is the process of positioning the model markers so that they match the locations of the experimental markers. Markers are typically registered using a graphical user interface (GUI), but this method is subjective and may introduce errors and uncertainty to the calculated joint angles and moments. In this investigation, we use OpenSim to isolate and quantify marker registration-based error from other sources of error by analyzing the gait of a bipedal humanoid robot for which segment geometry, mass properties, and joint angles are known. We then propose a marker registration method that is informed by the orientation of anatomical reference frames derived from surface-mounted optical markers as an alternative to user registration using a GUI. The proposed orientation registration method reduced the average root-mean-square error in both joint angles and joint moments by 67% compared to the user registration method, and eliminated variability among users. Our results show that a systematic method for marker registration that reduces subjective user input can make marker registration more accurate and repeatable.James J DunneThomas K UchidaThor F BesierScott L DelpAjay SethPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 16, Iss 5, p e0252425 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q James J Dunne Thomas K Uchida Thor F Besier Scott L Delp Ajay Seth A marker registration method to improve joint angles computed by constrained inverse kinematics.
description	Accurate computation of joint angles from optical marker data using inverse kinematics methods requires that the locations of markers on a model match the locations of experimental markers on participants. Marker registration is the process of positioning the model markers so that they match the locations of the experimental markers. Markers are typically registered using a graphical user interface (GUI), but this method is subjective and may introduce errors and uncertainty to the calculated joint angles and moments. In this investigation, we use OpenSim to isolate and quantify marker registration-based error from other sources of error by analyzing the gait of a bipedal humanoid robot for which segment geometry, mass properties, and joint angles are known. We then propose a marker registration method that is informed by the orientation of anatomical reference frames derived from surface-mounted optical markers as an alternative to user registration using a GUI. The proposed orientation registration method reduced the average root-mean-square error in both joint angles and joint moments by 67% compared to the user registration method, and eliminated variability among users. Our results show that a systematic method for marker registration that reduces subjective user input can make marker registration more accurate and repeatable.
format	article
author	James J Dunne Thomas K Uchida Thor F Besier Scott L Delp Ajay Seth
author_facet	James J Dunne Thomas K Uchida Thor F Besier Scott L Delp Ajay Seth
author_sort	James J Dunne
title	A marker registration method to improve joint angles computed by constrained inverse kinematics.
title_short	A marker registration method to improve joint angles computed by constrained inverse kinematics.
title_full	A marker registration method to improve joint angles computed by constrained inverse kinematics.
title_fullStr	A marker registration method to improve joint angles computed by constrained inverse kinematics.
title_full_unstemmed	A marker registration method to improve joint angles computed by constrained inverse kinematics.
title_sort	marker registration method to improve joint angles computed by constrained inverse kinematics.
publisher	Public Library of Science (PLoS)
publishDate	2021
url	https://doaj.org/article/273e87e82d3f450c90e4ec9706c263f4
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A marker registration method to improve joint angles computed by constrained inverse kinematics.

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