Motion capture systems play an important role in health-care and sport-training systems. In particular, there exists a great demand on a mobile motion capture system that enables people to monitor their health condition and to practice sport postures anywhere at any time. The motion capture systems with infrared or vision cameras, however, require a special setting, which hinders their application to a mobile system. In this paper, a mobile three-dimensional motion capture system is developed based on inertial sensors and smart shoes. Sensor signals are measured and processed by a mobile computer; thus, the proposed system enables the analysis and diagnosis of postures during outdoor sports, as well as indoor activities. The measured signals are transformed into quaternion to avoid the Gimbal lock effect. In order to improve the precision of the proposed motion capture system in an open and outdoor space, a frequency-adaptive sensor fusion method and a kinematic model are utilized to construct the whole body motion in real-time. The reference point is continuously updated by smart shoes that measure the ground reaction forces.

References

1.
Steffen
,
Lyn. M.
,
Arnett
,
Donna, K.
,
Blackbern
,
H.
,
Shah
,
G.
,
Armstrong
,
C.
,
Luepker
,
R. V.
, and
Jacobs
,
David R.
,
2006
, “
Population Trends in Leisure-Time Physical Activity: Minnesota Hear Survey, 1980–2000
,”
Med. Sci. Sports Exercise
,
38
(
10
), pp.
1716
1723
.10.1249/01.mss.0000227407.83851.ba
2.
Chong
,
A. Y.-L.
, and
Chan, Felix
T. S.
,
2012
, “
Structural Equation Modeling for Multi-Stage Analysis on Radio Frequency Identification (RFID) Diffusion in the Health Care Industry
,”
Expert Sys. Applic.
,
39
(
10
), pp.
8645
8654
.10.1016/j.eswa.2012.01.201
3.
Macintosh
,
E.
, and
Walker
,
M.
,
2012
, “
Chronicling the Transient Nature of Fitness Employees: An Organizational Culture Perspective
,”
J. Sport Manag.
,
26
(
2
),
pp.
113
126
.
4.
Sport Research Intelligence Sportive
, accessed on Aug. 2012, http://secure.sirc.ca
5.
Zetou
,
E.
,
Koronas
,
V.
,
Athanailidis
,
I.
, and
Koussis
,
P.
,
2012
, “
Learning Tennis Skill Through Game Play and Stay in Elementary Pupils
,”
J. Hum. Sport Exerc.
,
7
(
2
), pp.
560
572
.10.4100/jhse.2012.72.19
6.
Clara, S.
Lewis
,
2008
, “
Life Chances and Wellness: Meaning and Motivation in the “Yoga Market
,”
Sport Soc.
,
11
(
5
), pp.
535
545
.10.1080/17430430802196538
7.
Chan
,
J. C. P.
,
Leung
,
H.
,
Tang
J. K. T.
, and
Komura
,
T.
,
2011
, “
A Virtual Reality Dance Training System Using Motion Capture Technology
,”
IEEE Trans. Learn. Technol.
,
4
(
2
), pp.
187
195
.10.1109/TLT.2010.27
8.
Golf Teaching and Research Center
, accessed on Aug. 2012, http://www.hhdev.psu.edu/rptm/gtrc
9.
Taylor Made Performance Labs
, accessed on Aug. 2012, http://www.tmplabs.com/
10.
Callaway Golf Performance Center
, accessed on Aug. 2012, http://www.callawaygolf.com/
11.
Kong
,
K.
, and
Tomizuka
,
M.
,
2009
, “
A Gait Monitoring System Based on Air Pressure Sensors Embedded in a Shoe
,”
IEEE/ASME Trans. Mechatron.
,
14
(
3
), pp.
358
370
.10.1109/TMECH.2008.2008803
12.
Brigante
,
C. M. N.
,
Abbate
,
N.
,
Basile
,
A.
,
Faulisi
,
A. C.
, and
Sessa
,
S.
,
2011
, “
Towards Miniaturization of a MEMS-Based Wearable Motion Capture System
,”
IEEE Trans. Ind. Electron.
,
58
(
8
), pp.
3234
3241
.10.1109/TIE.2011.2148671
13.
Hashi
,
S.
,
Tokunaga
,
Y.
,
Yabukami
,
S.
,
Toyoda
,
M.
,
Ishiyama
,
K.
,
Okazaki
,
Y.
, and
Arai
,
K. I.
,
2005
, “
Development of Real-Time and Highly Accurate Wireless Motion Capture System Utilizing Soft Magnetic Core
,”
IEEE Trans. Magn.
,
41
(
10
), pp.
4191
4193
.10.1109/TMAG.2005.854839
14.
Kwon
,
S.
,
Park
,
H.-S.
,
Stanley
,
C. J.
,
Kim
,
J.
,
Kim
,
J.-H.
, and
Damiano
,
D. L.
,
2012
, “
A Practical Strategy for sEMG-Based Knee Joint Moment Estimation During Gait and Its Validation in Individuals With Cerebral Palsy
,”
IEEE Trans. Biomed. Eng.
,
59
(
5
), pp.
1480
1487
.10.1109/TBME.2012.2187651
15.
Fourati
,
H.
,
Manamanni
,
N.
,
Afilal
,
L.
, and
Handrich
,
Y.
, “
Complementary Observer for Body Segments Motion Capturing by Inertial and Magnetic Sensors
,”
IEEE/ASME Trans. Mechatron.
(accepted).
16.
Zhang
,
Z.-Q.
, and
Wu
,
J.-K.
,
2011
, “
A Novel Hierarchical Information Fusion Method for Three-Dimensional Upper Limb Motion Estimation
,”
IEEE Trans. Instrum. Meas.
,
60
(
11
), pp.
3709
3719
.10.1109/TIM.2011.2135070
17.
Frosio
,
I.
,
Pedersini
,
F.
, and
Borghese
,
N. A.
,
2009
, “
Autocalibration of MEMS Accelerometers
,”
IEEE Trans. Instrum. Meas.
,
58
(
6
), pp.
2034
2041
.10.1109/TIM.2008.2006137
18.
Zhou
,
H.
, and
Hu
,
H.
,
2010
, “
Reducing Drifts in the Inertial Measurements of Wrist and Elbow Positions
,”
IEEE Trans. Instrum. Meas.
,
59
(
3
), pp.
575
585
.10.1109/TIM.2009.2025065
19.
Miller
,
N.
,
Jenkins
,
O. C.
,
Kallmann
,
M.
, and
Mataric
,
M. J.
,
2004
, “
Motion Capture From Inertial Sensing for Untethered Humanoid Teleoperation
,”
IEEE International Conference on Humanoid Robots
, Vol.
2
, pp.
547
565
.
20.
Brodie
,
M.
,
Walmsley
,
A.
, and
Page
,
W.
,
2008
, “
Fusion Motion Capture: A Prototype System Using Inertial Measurement Units and GPS for the Biomechanical Analysis of Ski Racing
,”
Sports Technol.
,
1
(
1
), pp.
17
28
.10.1002/jst.6
21.
Xsens
, accessed on Nov. 2012, http://www.xsens.com/
22.
Life Performance Research
, accessed on Nov. 2012, http://www.lp-research.com/
23.
EBMotion, E2BOX
, accessed on Nov. 2012, http://www.e2box.co.kr/
24.
Lin
,
Z.
,
Zecca
,
M.
,
Sessa
,
S.
,
Bartolomeo
,
L.
,
Ishii
,
H.
, and
Itoh
,
K.
,
2010
, “
Development of an Ultra-Miniaturized Inertial Measurement Unit WB-3 for Human Body Motion Tracking
,”
IEEE International Symposium on System Integration
, pp.
414
419
.
25.
Lepetit
,
V.
, and
Fua
,
P.
,
2005
, “
Monocular Model-Based 3D Tracking of Rigid Objects
,”
Found. Trends. Comput. Graph. Vision
,
1
(
1
), pp.
11
14
10.1561/0600000001.
26.
Winter
,
D. A.
,
2004
,
Biomechanics and Motor Control of Human Movement
, 3rd ed.,
John Wiley and Sons, Inc.
,
Hoboken, NJ
.
27.
Wone
,
S.-H. P.
,
Melek
,
W. W.
, and
Golnaraghi
,
F.
,
2010
, “
A Kalman/Particle Filter-Based Position and Orientation Estimation Method Using a Position Sensor/Inertial Measurement Unit Hybrid System
,”
IEEE Trans. Instrum. Meas.
,
57
(
5
), pp.
1787
1798
10.1109/TIE.2009.2032431.
You do not currently have access to this content.