Hand gesture recognition using low-budget data glove and cluster-trained probabilistic neural network

Assembly Automation

Volumn 34, Issue 1, 2014, Pages 94-105

  Luzanin, Ognjan ^a   Plancak, Miroslav ^a  

^a UNIVERSITY OF NOVI SAD   (Serbia)

Author keywords

Data clustering; Data glove; Gesture recognition; Probabilistic neural network; Virtual reality

Indexed keywords

DATA CLUSTERING; DATA GLOVE; DESIGN/METHODOLOGY/APPROACH; ENGINEERING APPLICATIONS; GESTURE RECOGNITION SYSTEM; HAND-GESTURE RECOGNITION; PROBABILISTIC NEURAL NETWORKS; SIGNIFICANT DETERIORATIONS;

BUDGET CONTROL; CLUSTERING ALGORITHMS; NEURAL NETWORKS; SENSORS; VIRTUAL REALITY;

GESTURE RECOGNITION;

EID: 84893621338     PISSN: 01445154     EISSN: None     Source Type: Journal    
DOI: 10.1108/AA-03-2013-020     Document Type: Article

References (28)

1. Beale, R. and Edwards, A.D.N. (1990), "Gestures and neural networks in human-computer interaction", IEEE Colloquium on Neural Nets in Human Computer Interaction, IEE Digest 1990/179, pp. 1-4.
2. Eisenstein, J., Ghandeharizadeh, S., Golubchik, L., Shahabi, C., Jan, D. and Zimmermann, R. (2003), "Device independence and extensibility in gesture recognition", IEEE Virtual Reality Conference, pp. 207-214.
3. Eisenstein, J., Ghandeharizadeh, S., Huang, L., Shahabi, C., Shanbhag, G. and Zimmermann, R. (2001), "Utilizing biomechanical characteristics for user independent gesture recognition", Proceedings of 2001 International Symposium on Intelligent Multimedia, Video and Speech Processing, pp. 259-262.
4. Everitt, B., Landau, S., Leese, M. and Stahl, D. (2012), Cluster Analysis, Wiley, Cornwall, NY.
5. Fels, S.S. and Hinton, G.E. (1993), "Glove-talk: a neural network interface between a data-glove and a speech synthesizer", IEEE Transactions on Neural Networks, Vol. 4 No. 1, pp. 2-8.
6. Fifth Dimension Technologies (2004), 5DT Data Glove Ultra Series - User's Manual, available at: www.5dt.com/downloads.html (accessed 25 November 2011).
7. Ibarguren, A., Maurtua, I. and Sierra, B. (2010), "Layered architecture for real time sign recognition: hand gesture and movement", Engineering Applications of Artificial Intelligence, Vol. 23, pp. 1216-1228.
8. Jain, A.K. (2010), "Data clustering: 50 years beyond Kmeans", Pattern Recognition Letters, Vol. 31 No. 8, pp. 651-666.
9. Jin, S., Li, Y., Lu, G., Luo, J., Chen, W. and Zheng, X. (2011), "Interaction and control with the auxilliary of hand gesture", Proceedings of the International Conference on Information Science and Technology (ICIST 2011), Nanjing, pp. 1362-1366.
10. Kahlesz, F., Zachmann, G. and Klein, R. (2004), "Visual-fidelity dataglove calibration", Computer Graphics International (CGI'04), Crete, Greece, June 16-19, IEEE Computer Society Press, Washington, DC, pp. 403-410.
11. Lužanin, O. and Plančak, M. (2009), "Enhancing gesture dictionary of a commercial data glove using complex static gestures and an MLP ensemble", Strojniški Vestnik - Journal of Mechanical Engineering, Vol. 55 No. 4, pp. 230-236.
12. Mitra, S. and Acharya, T. (2007), "Gesture recognition: a survey", IEEE Transactions on Systems, Man and Cybernetics, Part C: Applications and Reviews, Vol. 37 No. 3, pp. 311-324.
13. Murakami, K. and Taguchi, H. (1991), "Gesture recognition using recurrent neural networks", CHI'91 Conference Proceedings, Human Interface Laboratory, Fujitsy Laboratories, Sunnyvale, CA, pp. 237-242.
14. Newbee, G.B. (1994), "Gesture recognition based upon statistical similarity", Presence, Vol. 3 No. 3, pp. 236-243.
15. Oz, C. and Leu, C. (2011), "American Sign Language word recognition with a sensory glove using artificial neural networks", Engineering Applications of Artificial Intelligence, Vol. 24, pp. 1204-1213.
16. Parvini, F. and Shahabi, C. (2005), "Utilizing bio-mechanical characteristics for user-independent gesture recognition", Proceedings of the 21st International Conference on Data Engineering (ICDE'05), pp. 1170-1179.
17. Parvini, F., McLeod, D., Shahabi, C., Navai, B., Zali, B. and Ghandeharizadeh, S. (2009), "An approach to glove-based gesture recognition", in Jacko, J.A. (Ed.), Human-Computer Interaction - Part II, Springer, Berlin, pp. 236-245.
18. Pelleg, D. and Moore, A. (2000), "X-means: extending K-means with efficient estimation of the number of clusters", Proceedings of the Seventeenth International Conference on Machine Learning, Morgan Kaufmann, San Francisco, CA, pp. 727-734.
19. Rautaray, S.S. and Agrawal, A. (2012), "Vision based hand gesture recognition for human computer interaction: a survey", Artificial Intelligence Review, 6 November.
20. Rekimoto, J. (2002), "SmartSkin: an infrastructure for freehand manipulation on interactive surfaces", Proceedings of the SIGCHI Conference on Human Factors in Computing Systems: Changing Our World, Changing Ourselves, pp. 113-120.
21. Shahabi, C., Kaghazian, L., Mehta, S., Ghoting, A., Shanbhag, G. and McLaughlin, M.L. (2001), "Understanding of user behavior in immersive environments", in McLaughlin, M.L., Hespanha, J. and Sukhatme, G. (Eds), Touch in Virtual Environments: Haptics and the Design of Interactive Systems, Prentice-Hall, Upper Saddle River, NJ, pp. 238-259.
22. Sherrod, P.H. (2003), "DTREG predictive modeling software", available at: www.dtreg.com (accessed 3 March 2013).
23. Specht, D.F. (1990), "Probabilistic neural networks", Neural Networks, Vol. 3 No. 1, pp. 110-118.
24. Vamplew, P. and Adams, A. (1996), "Recognition of sign language gestures using neural networks", Australian Journal of Intelligent Information Processing Systems, Vol. 5 No. 2, pp. 94-102.
25. Weissman, J. and Salomon, R. (1999), "Gesture recognition for virtual reality applications using data gloves and neural networks", Proceedings of IEEE International Joint Conference on Neural Networks, pp. 2043-2046.
26. Wheeler, K.R. (2003), "Device control using gestures sensed from EMG", Proceedings of the 2003 IEEE International Workshop on Soft Computing in Industrial Applications, SMCia/03, pp. 21-26.
27. Xia, P.J., Lopes, A.M. and Restivo, M.T. (2013), "A review of virtual reality and haptics for product assembly (part 1): rigid parts", Assembly Automation, Vol. 33 No. 1, pp. 68-77.
28. Xu, D. (2006), "A neural network approach for hand gesture recognition in virtual reality driving training system of SPG", 18th International Conference on Pattern Recognition (ICPR'06), Vol. 3, pp. 519-522.