Abstract
It is desirable to automatically classify data samples for the assessment of quantitative performance of users of haptic devices as the haptic data volume may be much higher than is feasible to manually annotate. In this paper we compare the use of three k-metrics for automated classifaction of human motion: cosine, extrinsic curvature and symmetric centroid deviation. Such classification algorithms make predictions about data attributes, whose quality we assess via three mathematical methods of comparison: root mean square deviation, sensitivity error and entropy correlation coefficient. Our assessment suggests that k-cosine might be more promising at analysing haptic motion than our two other metrics.
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Hutchins, M.A., O’Leary, S., Stevenson, D., Gunn, C., Krumpholz, A.: A networked haptic virtual environment for teaching temporal bone surgery. In: MMVR XIII, pp. 204–207. IOS Press, Amsterdam (2005)
Morris, D., Sewell, C., Barbagli, F., Salisbury, K., Blevins, N.H., Girod, S.: Visuohaptic simulation of bone surgery for training and evaluation. IEEE Comput. Graph. Appl. 26(6), 48–57 (2006)
Rasmussen, M., Mason, T.P., Millman, A., Evenhouse, R., Sandin, D.J.: The virtual temporal bone, a tele-immersive educational environment. Future Gen. Comp. Sys. 14(1-2), 125–130 (1998)
Wiet, G.J., Bryan, J., Dodson, E., Sessanna, D., Streadney, D., Schmalbrock, P., Welling, B.: Virtual temporal bone dissection simulation. In: MMVR 2000. IOS Press, Amsterdam (2000)
John, N.W., Thacker, N., Pokric, M., Jackson, A., Zanetti, G., Gobbetti, E., Giachetti, A., Stone, R., Campos, J., Emmen, A., Schwerdtner, A., Neri, E., Franceschini, S., Rubio, F.: An integrated simulator for surgery of the petrous bone. In: MMVR 2001. IOS Press, Amsterdam (2001)
Agus, M., Giachetti, A., Gobbetti, E., Zanetti, G., Zorcolo, A., John, N.W., Stone, R.J.: Mastoidectomy simulation with combined visual and haptic feedback. In: MMVR 2002. IOS Press, Amsterdam (2002)
Pflesser, B., Petersik, A., Tiede, U., Hohne, K., Leuwer, R.: Volume cutting for virtual petrous bone surgery. Computer Aided Surgery 7(2), 74–83 (2002)
Agus, M., Giachetti, A., Gobbetti, E., Zanetti, G., Zorcolo, A.: Tracking the movement of surgical tools in a virtual temporal bone dissection simulator. In: Ayache, N., Delingette, H. (eds.) IS4TM 2003. LNCS, vol. 2673. pp. 1004–1011. Springer, Heidelberg (2003)
Sewell, C., Morris, D., Blevins, N.H., Agrawal, S., Dutta, S., Barbagli, F., Salisbury, K.: Validating metrics for a mastoidectomy simulator. In: MMVR XV. IOS Press, Amsterdam (2007)
Kenney, J.F., Keeping, E.S.: Mathematics of Statistics Pt - 1, 3rd edn. Van Nostrand (1962)
Inesta, J.M., Buendia, M., Sarti, M.A.: Reliable polygonal approximations of imaged real objects through dominant point detection. Pattern Recogn. Lett. 31, 685–697 (1998)
Attneave, F.: Informational aspects of visual perception. Psychological Review 61, 183–193 (1954)
Rosenfeld, A., Johnson, E.: Angle detection on digital curves. IEEE Trans. Comput, 875–878 (1973)
Sun, T.H., Lo, C.C., Yu, P.S., Tien, F.C.: Boundary-based corner detection using k-cosine. Systems, Man and Cybernetics. In: ISIC. IEEE International Conference on (October 7-10), pp. 1106–1111 (2007)
Rosenfeld, A., Weszka, J.S.: An improved method of angle detection on digital curves. IEEE Trans. Comput. 24(9), 940–941 (1975)
Arfken, G.: Scalar or Dot Product, 3rd edn. Academic Press, London (1985)
Johnson, R.A.: Modern Geometry: An Elementary Treatise on the Geometry of the Triangle and the Circle. Houghton Mifflin (1929)
Maiorov, V.N., Crippen, G.M.: Significance of root-mean-square deviation in comparing three-dimensional structures of globular proteins. J Mol Biol 235(2), 625–634 (1994)
Kanji, G.K.: 100 Statistical Tests. SAGE Publications, Thousand Oaks (1999)
Pluim, J.P., Maintz, J.B., Viergever, M.A.: Mutual-information-based registration of medical images: a survey. IEEE Transactions on Medical Imaging 22, 986–1004 (2003)
Collignon, A., Maes, F., Vandermeulen, D., Marchal, G., Suetens, P.: Multimodality image registration by maximization of mutual information. Medical Imaging, IEEE Transactions on 16(2), 187–198 (1997)
Studholme, C., Hill, D., Hawkes, D.: An overlap invariant entropy measure of 3d medical image alignment. Pattern Recognition 1(32), 71–86 (1999)
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Hall, R. et al. (2008). Towards Haptic Performance Analysis Using K-Metrics. In: Pirhonen, A., Brewster, S. (eds) Haptic and Audio Interaction Design. HAID 2008. Lecture Notes in Computer Science, vol 5270. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-87883-4_6
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DOI: https://doi.org/10.1007/978-3-540-87883-4_6
Publisher Name: Springer, Berlin, Heidelberg
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