Literature DB >> 25203720

Evaluation of hand motion capture protocol using static computed tomography images: application to an instrumented glove.

James H Buffi, Joaquín Luis Sancho Bru, Joseph J Crisco, Wendy M Murray.   

Abstract

There has been a marked increase in the use of hand motion capture protocols in the past 20 yr. However, their absolute accuracies and precisions remain unclear. The purpose of this technical brief was to present a method for evaluating the accuracy and precision of the joint angles determined by a hand motion capture protocol using simultaneously collected static computed tomography (CT) images. The method consists of: (i) recording seven functional postures using both the motion capture protocol and a CT scanner; (ii) obtaining principal axes of the bones in each method; (iii) calculating the flexion angle at each joint for each method as the roll angle of the composite, sequential, roll-pitch-yaw rotations relating the orientation of the distal bone to the proximal bone; and (iv) comparing corresponding joint angle measurements. For demonstration, we applied the method to a Cyberglove protocol. Accuracy and precision of the instrumented-glove protocol were calculated as the mean and standard deviation, respectively, of the differences between the angles determined from the Cyberglove output and the CT images across the seven postures. Implementation in one subject highlighted substantial errors, especially for the distal joints of the fingers. This technical note both clearly demonstrates the need for future work and introduces a solid, technical approach with the potential to improve the current state of such assessments in our field.

Mesh:

Year:  2014        PMID: 25203720      PMCID: PMC4997816          DOI: 10.1115/1.4028521

Source DB:  PubMed          Journal:  J Biomech Eng        ISSN: 0148-0731            Impact factor:   2.097


  21 in total

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8.  Validity of a simple videogrammetric method to measure the movement of all hand segments for clinical purposes.

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  4 in total

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Authors:  Verónica Gracia-Ibáñez; Margarita Vergara; James H Buffi; Wendy M Murray; Joaquín L Sancho-Bru
Journal:  Comput Methods Biomech Biomed Engin       Date:  2016-12-27       Impact factor: 1.763

3.  Quantifying Soft Tissue Artefacts and Imaging Variability in Motion Capture of the Fingers.

Authors:  C D Metcalf; C Phillips; A Forrester; J Glodowski; K Simpson; C Everitt; A Darekar; L King; D Warwick; A S Dickinson
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4.  A calibrated database of kinematics and EMG of the forearm and hand during activities of daily living.

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Journal:  Sci Data       Date:  2019-11-11       Impact factor: 6.444

  4 in total

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