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.

References

References
1.
Katz
,
S.
,
Down
,
T. D.
, and
Cash
,
H. R.
,
1970
, “
Progress in the Development of the Index of ADL
,”
Gerontologist
,
10
(
1
), pp.
20
30
.10.1093/geront/10.1_Part_1.20
2.
Chiu
,
H. Y.
,
Lin
,
S. C.
,
Su
,
F. C.
,
Wang
,
S. T.
, and
Hsu
,
H. Y.
,
2000
, “
The Use of the Motion Analysis System for Evaluation of Loss of Movement in the Finger
,”
J. Hand Surgery-British Eur.
,
25B
(
2
), pp.
195
199
.10.1054/jhsb.1999.0344
3.
Nathan
,
D. E.
,
Johnson
,
M. J.
, and
McGuire
,
J. R.
,
2009
, “
Design and Validation of Low-Cost Assistive Glove for Hand Assessment and Therapy During Activity of Daily Living-Focused Robotic Stroke Therapy
,”
J. Rehabil. Res. Dev.
,
46
(
5
), pp.
587
602
.10.1682/JRRD.2008.04.0052
4.
Oess
,
N. P.
,
Wanek
,
J.
, and
Curt
,
A.
,
2012
, “
Design and Evaluation of a Low-Cost Instrumented Glove for Hand Function Assessment
,”
J. Neuroeng. Rehabil.
,
9
(
2
), pp.
1
11
.10.1186/1743-0003-9-2
5.
Grinyagin
,
I. V.
,
Biryukova
,
E. V.
, and
Maier
,
M. A.
,
2005
, “
Kinematic and Dynamic Synergies of Human Precision-Grip Movements
,”
J. Neurophysiol.
,
94
(
4
), pp.
2284
2294
.10.1152/jn.01310.2004
6.
Sanchez-Margallo
,
F. M.
,
Sanchez-Margallo
,
J. A.
,
Pagador
,
J. B.
,
Moyano
,
J. L.
,
Moreno
,
J.
, and
Uson
,
J.
,
2010
, “
Ergonomic Assessment of Hand Movements in Laparoscopic Surgery Using the CyberGlove (R)
,”
Computational Biomechanics for Medicine
, K. Miller and P. M. F. Nielsen, eds., Springer, New York,
2
, pp.
121
128
.10.1007/978-1-4419-5874-7
7.
Tripp
,
B. L.
,
Uhl
,
T. L.
,
Mattacola
,
C. G.
,
Srinivasan
,
C.
, and
Shapiro
,
R.
,
2006
, “
A Comparison of Individual Joint Contributions to Multijoint Position Reproduction Acuity in Overhead-Throwing Athletes
,”
Clin. Biomech.
,
21
(
5
), pp.
466
473
.10.1016/j.clinbiomech.2005.12.015
8.
Metcalf
,
C. D.
,
Robinson
,
R.
,
Malpass
,
A. J.
,
Bogle
,
T. P.
,
Dell
,
T. A.
,
Harris
,
C.
, and
Demain
,
S. H.
,
2013
, “
Markerless Motion Capture and Measurement of Hand Kinematics: Validation and Application to Home-Based Upper Limb Rehabilitation
,”
IEEE Trans. Biomed. Eng.
,
60
(
8
), pp.
2184
2192
.10.1109/TBME.2013.2250286
9.
Collins
,
T. D.
,
Ghoussayni
,
S. N.
,
Ewins
,
D. J.
, and
Kent
,
J. A.
,
2009
, “
A Six Degrees-of-Freedom Marker Set for Gait Analysis: Repeatability and Comparison With a Modified Helen Hayes Set
,”
Gait and Posture
,
30
(
2
), pp.
173
180
.10.1016/j.gaitpost.2009.04.004
10.
Metcalf
,
C. D.
,
Notley
,
S. V.
,
Chappell
,
P. H.
,
Burridge
,
J. H.
, and
Yule
,
V. T.
,
2008
, “
Validation and Application of a Computational Model for Wrist and Hand Movements Using Surface Markers
,”
IEEE Trans. Biomed. Eng.
,
55
(
3
), pp.
1199
1210
.10.1109/TBME.2007.908087
11.
Degeorges
,
R.
,
Laporte
,
S.
,
Pessis
,
E.
,
Mitton
,
D.
,
Goubier
,
J. N.
, and
Lavaste
,
F.
,
2004
, “
Rotations of Three-Joint Fingers: A Radiological Study
,”
Surg. Radiol. Anat.
,
26
(
5
), pp.
392
398
10.1007/s00276-004-0244-0.
12.
Carpinella
,
I.
,
Mazzoleni
,
P.
,
Rabuffetti
,
A.
,
Thorsen
,
R.
, and
Ferrarin
,
M.
,
2006
, “
Experimental Protocol for the Kinematic Analysis of the Hand: Definition and Repeatability
,”
Gait and Posture
,
23
(
4
), pp.
445
454
.10.1016/j.gaitpost.2005.05.001
13.
Cerveri
,
P.
,
De Momi
,
E.
,
Lopomo
,
N.
,
Baud-Bovy
,
G.
,
Barros
,
R. M. L.
, and
Ferrigno
,
G.
,
2007
, “
Finger Kinematic Modeling and Real-Time Hand Motion Estimation
,”
Ann. Biomed. Eng.
,
35
(
11
), pp.
1989
2002
.10.1007/s10439-007-9364-0
14.
Chang
,
L. Y.
, and
Pollard
,
N. S.
,
2008
, “
Method for Determining Kinematic Parameters of the In Vivo Thumb Carpometacarpal Joint
,”
IEEE Trans. Biomed. Eng.
,
55
(
7
), pp.
1897
1906
.10.1109/TBME.2008.919854
15.
Sancho-Bru
,
J. L.
,
Jarque-Bou
,
N.
,
Vergara
,
M.
, and
Perez-Gonzalez
,
A.
,
2014
, “
Validity of a Simple Videogrammetric Method to Measure the Movement of all Hand Segments for Clinical Purposes
,”
Proc. Inst. Mech. Eng. H.
,
228
(
2
), pp.
182
189
.10.1177/0954411914522023
16.
Veber
,
M.
,
Bajd
,
T.
, and
Munih
,
M.
,
2007
, “
Assessing Joint Angles in Human Hand Via Optical Tracking Device and Calibrating Instrumented Glove
,”
Meccanica
,
42
(
5
), pp.
451
463
.10.1007/s11012-007-9064-8
17.
Buffi
,
J. H.
,
Crisco
,
J. J.
, and
Murray
,
W. M.
,
2013
, “
A Method for Defining Carpometacarpal Joint Kinematics From Three-Dimensional Rotations of the Metacarpal Bones Captured In Vivo Using Computed Tomography
,”
J. Biomech.
,
46
(
12
), pp.
2104
2108
.10.1016/j.jbiomech.2013.05.019
18.
Griffin
,
W. B.
,
Findley
,
R. P.
,
Turner
,
M. L.
, and
Cutkosky
,
M. R.
,
2000
, “
Calibration and Mapping of a Human Hand for Dexterous Telemanipulation
,”
ASME IMECE 2000 Conference
, Orlando, FL, Nov 5–10, pp.
1
8
.
19.
Lu
,
P. F.
, and
Huenerfauth
,
M.
,
2009
, “
Accessible Motion-Capture Glove Calibration Protocol for Recording Sign Language Data from Deaf Subjects
,” Assets'09: Proceedings of the 11th International
ACM
Sigaccess Conference on Computers and Accessibility
,
Pittsburgh, PA
, Oct. 25–28, pp.
83
90
.10.1145/1639642.1639658
20.
Holzbaur
,
K. R. S.
,
Murray
,
W. M.
, and
Delp
,
S. L.
,
2005
, “
A Model of the Upper Extremity for Simulating Musculoskeletal Surgery and Analyzing Neuromuscular Control
,”
Ann. Biomed. Eng.
,
33
(
6
), pp.
829
840
.10.1007/s10439-005-3320-7
21.
Sebastian
,
T. B.
,
Tek
,
H.
,
Crisco
,
J. J.
, and
Kimia
,
B. B.
,
2003
, “
Segmentation of Carpal Bones From CT Images Using Skeletally Coupled Deformable Models
,”
Med. Image Anal.
,
7
(
1
), pp.
21
45
.10.1016/S1361-8415(02)00065-8
22.
Altman
,
D. G.
, and
Bland
,
J. M.
,
1983
, “
Measurement in Medicine—the Analysis of Method Comparison Studies
,”
Statistician
,
32
(
3
), pp.
307
317
.10.2307/2987937
23.
Bland
,
J. M.
, and
Altman
,
D. G.
,
1999
, “
Measuring Agreement in Method Comparison Studies
,”
Stat. Methods Med. Res.
,
8
(
2
), pp.
135
160
.10.1191/096228099673819272
24.
Todorov
,
E.
,
2007
, “
Probabilistic Inference of Multijoint Movements, Skeletal Parameters and Marker Attachments From Diverse Motion Capture Data
,”
IEEE Trans. Biomed. Eng.
,
54
(
11
), pp.
1927
1939
.10.1109/TBME.2007.903521
25.
Santello
,
M.
,
Flanders
,
M.
, and
Soechting
,
J. F.
,
2002
, “
Patterns of Hand Motion During Grasping and the Influence of Sensory Guidance
,”
J. Neurosci.
,
22
(
4
), pp.
1426
1435
.
26.
Donnelly
,
C. J.
,
Lloyd
,
D. G.
,
Elliott
,
B. C.
, and
Reinbolt
,
J. A.
,
2012
, “
Optimizing Whole-Body Kinematics to Minimize Valgus Knee Loading During Sidestepping: Implications for ACL Injury Risk
,”
J. Biomech.
,
45
(
8
), pp.
1491
1497
.10.1016/j.jbiomech.2012.02.010
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