![](bg7.png)
Claasen, G., Martin, P., and Picard, F. (2011). High-
bandwidth low-latency tracking using optical and in-
ertial sensors. In Automation, Robotics and Applica-
tions (ICARA), 2011 5th International Conference on,
pages 366–371.
Cloete, T. and Scheffer, C. (2008). Benchmarking of a full-
body inertial motion capture system for clinical gait
analysis. In Engineering in Medicine and Biology So-
ciety, 2008. EMBS 2008. 30th Annual International
Conference of the IEEE, pages 4579–4582.
Cordella, F., Di Corato, F., Zollo, L., Siciliano, B., and Van
Der Smagt, P. (2012). Patient performance evaluation
using kinect and monte carlo-based finger tracking. In
Biomedical Robotics and Biomechatronics (BioRob),
2012 4th IEEE RAS EMBS International Conference
on, pages 1967–1972.
El-laithy, R., Huang, J., and Yeh, M. (2012). Study
on the use of microsoft kinect for robotics applica-
tions. In Position Location and Navigation Sympo-
sium (PLANS), 2012 IEEE/ION, pages 1280–1288.
Fischer, C., Talkad Sukumar, P., and Hazas, M. (2012). Tu-
torial: implementation of a pedestrian tracker using
foot-mounted inertial sensors. Pervasive Computing,
IEEE, PP(99):1–1.
Glaz, Y. L. (2011). Smartphonebasierte bewegungsanalyse
zur therapiekontrolle bei morbus parkinson. Master’s
thesis, University of Applied Sciences Hochschule
Ulm.
Jekeli, C. (2001). Inertial Navigation Systems With Geode-
tic Applications. Walter de Gruyter.
Jung, Y., Kang, D., and Kim, J. (2010). Upper body mo-
tion tracking with inertial sensors. In Robotics and
Biomimetics (ROBIO), 2010 IEEE International Con-
ference on, pages 1746–1751.
Koehler, B.-U. (2005). Konzepte der statistischen Sig-
nalverarbeitung. Springer, Berlin [u.a.].
Liguo, H., Yanfeng, Z., and Lingyun, Z. (2011). Body mo-
tion recognition based on acceleration sensor. In Elec-
tronic Measurement Instruments (ICEMI), 2011 10th
International Conference on, volume 1, pages 142–
145.
Madgwick, S., Harrison, A. J. L., and Vaidyanathan, R.
(2011). Estimation of imu and marg orientation us-
ing a gradient descent algorithm. In Rehabilitation
Robotics (ICORR), 2011 IEEE International Confer-
ence on, pages 1–7.
Maybeck, P. (1982). Stochastic Models, Estimation, and
Control. Mathematics in science and engineering.
Academic Press.
Nischwitz, A., Fischer, M., and Haber
¨
acker, P. (2007).
Computergrafik und Bildverarbeitung. Vieweg, Wies-
baden, 2 edition.
Obdrzalek, S., Kurillo, G., Ofli, F., Bajcsy, R., Seto, E.,
Jimison, H., and Pavel, M. (2012). Accuracy and ro-
bustness of kinect pose estimation in the context of
coaching of elderly population. In Engineering in
Medicine and Biology Society (EMBC), 2012 Annual
International Conference of the IEEE, pages 1188–
1193.
Patsadu, O., Nukoolkit, C., and Watanapa, B. (2012). Hu-
man gesture recognition using kinect camera. In Com-
puter Science and Software Engineering (JCSSE),
2012 International Joint Conference on, pages 28–32.
Rodriguez-Angeles, A., Morales-Diaz, A., Bernabe, J.-
C., and Arechavaleta, G. (2010). An online inertial
sensor-guided motion control for tracking human arm
movements by robots. In Biomedical Robotics and
Biomechatronics (BioRob), 2010 3rd IEEE RAS and
EMBS International Conference on, pages 319–324.
Taffoni, F., Piervirgili, G., Formica, D., and Guglielmelli, E.
(2011). An alignment procedure for ambulatory mea-
surements of lower limb kinematic using magneto-
inertial sensors. In Engineering in Medicine and Bi-
ology Society,EMBC, 2011 Annual International Con-
ference of the IEEE, pages 1197–1200.
Walter, B. (2012). Smartphonebasierte bewegungsanalyse
zur therapiekontrolle bei morbus parkinson. Master’s
thesis, University of Applied Sciences Hochschule
Ulm.
Wendel, J. (2007). Integrierte Navigationssysteme : Sen-
sordatenfusion, GPS und Inertiale Navigation. Old-
enbourg, Muenchen [u.a.].
Xiao, Z., Mengyin, F., Yi, Y., and Ningyi, L. (2012).
3d human postures recognition using kinect. In In-
telligent Human-Machine Systems and Cybernetics
(IHMSC), 2012 4th International Conference on, vol-
ume 1, pages 344–347.
Zeng, M., Liu, Z., Meng, Q., Bai, Z., and Jia, H. (2012).
Motion capture and reconstruction based on depth in-
formation using kinect. In Image and Signal Process-
ing (CISP), 2012 5th International Congress on, pages
1381–1385.
Zhang, Z., Fang, Q., and Ferry, F. (2011). Upper limb
motion capturing and classification for unsupervised
stroke rehabilitation. In IECON 2011 - 37th Annual
Conference on IEEE Industrial Electronics Society,
pages 3832–3836.
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