Page 166 - Control Theory in Biomedical Engineering
P. 166
Modeling simple and complex handwriting based on EMG signals 149
Scheme, E., Fougner, A., Stavdahl, O., Chan, A., Englehart, K., 2010. Examining the
adverse effects of limb position on pattern recognition based myoelectric control.
In: Proceedings of the 32nd Annual International Conference of the IEEE Engineering
in Medicine and Biology Society, Buenos Aires, Argentina, pp. 6337–6340.
Sylvain, A., Matthieu, L., 2016. Choice of V for V-fold cross-validation in least-squares den-
sity estimation. J. Mach. Learn. Res. 17 (208), 1–50.
Thomassen, A.J.W.M., Meulenbroek, R.G.J., 1993. Effects of manipulation horizontal pro-
gression in handwriting. Acta Psychol. 82, 329–352.
Umberto, B., Yeesock, K., Philip, P., Changwon, K., 2017. System identification, health
monitoring, and control design of smart structures and materials. Adv. Mech. Eng.
9 (4), 1–2.
Van Der Gon, D., Thuring, J.P., Strackee, J., 1962. A handwriting simulator. Phys. Med.
Biol. 407–414.
Viviani, P., Terzuolo, C.A., 1983. The organization of movement in handwriting and typ-
ing. Lang. Prod. 2, 103–146.
Waris, A., Mendez, I., Englehart, K., Jensen, W., Kamavuako, E.N., 2019. On the robustness
of real-time myoelectric control investigations: a multiday Fitts’ law approach. J. Neural
Eng. 16 (2), 026003.
Yasuhara, M., 1975. Experimental studies of handwriting process. Rep. Univ. Electro-
Commun. Japan 25 (2), 233–254.
Yasuhara, M., 1983. Identification and decomposition of fast handwriting process. IEEE
Trans. Circ. Syst. 30 (11), 828–832.
Zhang, D., Kamavuako, E.N., 2019. Estimation of Handwriting Trajectory From EMG Sig-
nals. (Individual master project) Department of Engineering, King’s College London.