Gesture recognition based on manifold learning

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 5342 LNCS, Issue , 2008, Pages 247-256

  Choi, Heeyoul ^a   Paulson, Brandon ^a   Hammond, Tracy ^a  

^a TEXAS A AND M UNIVERSITY   (United States)

Author keywords

Kernel Isomap; Manifold learning; Sketch recognition

Indexed keywords

EDUCATION; FACE RECOGNITION; GESTURE RECOGNITION; LEARNING SYSTEMS; PATTERN RECOGNITION; SURFACE PLASMON RESONANCE; SYNTACTICS; TECHNICAL PRESENTATIONS; TIME MEASUREMENT;

DO-MAINS; GESTURE RECOGNITION SYSTEMS; KERNEL ISOMAP; MANIFOLD LEARNING; MANIFOLD LEARNING ALGORITHMS; MANIFOLD LEARNING METHODS; NEW ALGORITHMS; NONLINEAR FEATURE EXTRACTORS; SKETCH RECOGNITION; SPATIAL INFORMATIONS;

LEARNING ALGORITHMS;

EID: 58349088989     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-89689-0_29     Document Type: Conference Paper

References (33)

1. LaViola, J., Zeleznik, R.: Mathpad2: A system for the creation and exploration of mathematical sketches. ACM Transactions on Graphics (Proceedings of SIGGRAPH) 23(3) (2004)
2. Stahovich, T., Davis, R., Shrobe, H.: Qualitative rigid body mechanics. Artificial Intelligence (2000)
3. Landay, J.A., Myers, B.A.: Sketching interfaces: Toward more human interface design" IEEE Computer 34(3), 56-64 (2001)
4. Forbus, K.D., Usher, J., Chapman, V.: Sketching for military course of action diagrams. In: Proceedings of IUI 2003 (2003)
5. Do, E.Y.L.: VR sketchpad - create instant 3D worlds by sketching on a transparent window. In: de Vries, B., van Leeuwen, J.P., Achten, H.H. (eds.) CAAD Futures 2001, pp. 161-172 (July 2001)
6. Forsberg, A.S., Dieterich, M.K., Zeleznik, R.C.: The music notepad. In: Proceedings of UIST 1998, ACM SIGGRAPH (1998)
7. Igarashi, T., Matsuoka, S., Tanaka, H.: Teddy: A sketching interface for 3d freeform design. In: SIGGRAPH 1999, pp. 409-416 (August 1999)
8. Mahoney, J.V., Fromherz, M.P.J.: Interpreting sloppy stick figures by graph rectification and constraint-based matching. In: Fourth IAPR Int. Workshop on Graphics Recognition, Kingston, Ontario, Canada (2001)
9. Muzumdar, M.: ICEMENDR.: Intelligent capture environment for mechanical engineering drawing. Master's thesis, Massachusetts Institute of Technology (1999)
10. Hammond, T., Davis, R.: Tahuti: A geometrical sketch recognition system for UML class diagrams. In: AAAI Spring Symposium on Sketch Understanding, March 25-27, pp. 59-68 (2002)
11. Patel, R., Plimmer, B., Grundy, J., Ihaka, R.: Ink features for diagram recognition. In: Sketch Based Interfaces and Modeling IEEE, Eurographics (2007)
12. Rubine, D.: Specifying gestures by example. Computer Graphics 25(4), 329-337 (1991)
13. Long, A.C., Landay, J.A., Rowe, L.A., Michiels, J.: Visual similarity of pen gestures. In: Human Factors in Computing Systems (2000)
14. Sezgin, T.M., Stahovich, T., Davis, R.: Sketch based interfaces: Early processing for sketch understanding. In: Proceedings of 2001 Perceptive User Interfaces Workshop (PUI 2001) (2001)
15. Mahoney, J.V., Fromherz, M.P.J.: Three main concerns in sketch recognition and an approach to addressing them. In: AAAI Spring Symposium on Sketch Understanding, Standord, CA, pp. 105-112 (March 2002)
16. Rabiner, L.R., Juang, B.H.: An introduction to hidden Markov models. IEEE Trans. Acoustics, Speech, and Signal Processing Magazine 3, 4-16 (1986)
17. Sezgin, T.M.: Sketch Interpretation Using Multiscale Stochastic Models of Temporal Patterns. PhD thesis, Massachusetts Institute of Technology (May 2006)
18. Sun, Z., Jiang, W., Sun, J.: Adaptive online multi-stroke sketch recognition based on hidden markov model. In: Yeung, D.S., Liu, Z.-Q., Wang, X.-Z., Yan, H. (eds.) ICMLC 2005. LNCS, vol. 3930, pp. 948-957. Springer, Heidelberg (2006)
19. Muller, S., Eickeler, S., Rigoll, G.: Image database retrieval of rotated objects by user sketch. In: IEEE Workshop on Content-Based Access of Image and Video Libraries, p. 40 (1998)
20. Alvarado, C., Davis, R.: Sketchread: A multi-domain sketch recognition engine. In: Proceedings of UIST 2004, pp. 23-32 (2004)
21. Hammond, T., Davis, R.: Ladder, a sketching language for user interface developers. Elsevier, Computers and Graphics 28, 518-532 (2005)
22. Kara, L.B., Stahovich, T.F.: An image-based trainable symbol recognizer for sketch-based interfaces. In: Making Pen-Based Interaction Intelligent and Natural, Menlo Park, California, October 21-24. AAAI Fall Symposium, pp. 99-105 (2004)
23. Lee, W., Kara, L.B., Stahovich, T.F.: An efficient graph-based recognizer for handdrawn symbols. Computers & Graphics 31, 554-567 (2007)
24. Seung, H.S., Lee, D.D.: The manifold ways of perception. Science 290, 2268-2269 (2000)
25. Tenenbaum, J.B., de Silva, V., Langford, J.C.: A global geometric framework for nonlinear dimensionality reduction. Science 290, 2319-2323 (2000)
26. Saul, L., Roweis, S.T.: Think globally, fit locally: Unsupervised learning of low dimensional manifolds. Journal of Machine Learning Research 4, 119-155 (2003)
27. Belkin, M., Niyogi, P.: Laplacian eigenmaps for dimensionality reduction and data representation. Neural Computation 15, 1373-1396 (2003)
28. de Silva, V., Tenenbaum, J.B.: Global versus local methods in nonlinear dimensionality reduction. In: Advances in Neural Information Processing Systems, vol. 15, pp. 705-712. MIT Press, Cambridge (2003)
29. Jenkins, O.C., Matari, M.J.: A spatio-temporal extension to isomap nonlinear dimension reduction. In: Proc. Int'l. Conf. Machine Learning, Banff, Canada (2004)
30. Wobbrock, J., Wilson, A., Li, Y.: Gestures without libraries, toolkits, or training: A $1 recognizer for user interface prototypes. In: Proc. of the 20th Annual ACM Symposium on User Interface Software and Technology, Newport, RI, USA (2007)
31. Choi, H., Choi, S.: Robust Kernel Isomap. Pattern Recognition 40(3), 853-862 (2007)
32. Girolaini, M.: Mercer kernel-based clustering in feature space. IEEE Transactions on Neural Networks 13(3), 780-784 (2002)
33. Schölkopf, B., Smola, A.J., Müller, K.R.: Nonlinear component analysis as a kernel eigenvalue problem. Neural Computation 10(5), 1299-1319 (1998)