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Reseach Article

Multi Stage based Time Series Analysis of User Activity on Touch Sensitive Surfaces in Highly Noise Susceptible Environments

by Sandeep Vanga, Sachin Jaganade
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 105 - Number 16
Year of Publication: 2014
Authors: Sandeep Vanga, Sachin Jaganade
10.5120/18462-9822

Sandeep Vanga, Sachin Jaganade . Multi Stage based Time Series Analysis of User Activity on Touch Sensitive Surfaces in Highly Noise Susceptible Environments. International Journal of Computer Applications. 105, 16 ( November 2014), 23-31. DOI=10.5120/18462-9822

@article{ 10.5120/18462-9822,
author = { Sandeep Vanga, Sachin Jaganade },
title = { Multi Stage based Time Series Analysis of User Activity on Touch Sensitive Surfaces in Highly Noise Susceptible Environments },
journal = { International Journal of Computer Applications },
issue_date = { November 2014 },
volume = { 105 },
number = { 16 },
month = { November },
year = { 2014 },
issn = { 0975-8887 },
pages = { 23-31 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume105/number16/18462-9822/ },
doi = { 10.5120/18462-9822 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:37:53.189242+05:30
%A Sandeep Vanga
%A Sachin Jaganade
%T Multi Stage based Time Series Analysis of User Activity on Touch Sensitive Surfaces in Highly Noise Susceptible Environments
%J International Journal of Computer Applications
%@ 0975-8887
%V 105
%N 16
%P 23-31
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

This article proposes a multistage framework for time series analysis of user activity on touch sensitive surfaces in noisy environments. Here multiple methods are put together in multi stage framework; including moving average, moving median, linear regression, kernel density estimation, partial differential equations and Kalman filter. The proposed three stage filter consisting of partial differential equation based denoising, Kalman filter and moving average method provides ~25% better noise reduction than other methods according to Mean Squared Error (MSE) criterion in highly noise susceptible environments. Apart from synthetic data, we also obtained real world data like hand writing, finger/stylus drags etc. on touch screens in the presence of high noise such as unauthorized charger noise or display noise and validated our algorithms. Furthermore, the proposed algorithm performs qualitatively better than the existing solutions for touch panels of the high end hand held devices available in the consumer electronics market qualitatively.

References
  1. Ken Hinckley et al, "Sensing Techniques for Mobile Interaction", Symposium on User Interface Software and Technology, CHI Letters 2 (2), pp. 91-100
  2. Ken Hinckley et al. , "Touch-Sensing Input Devices", Conf. on Human Factors in Computing Systems, CHI'99, 223-230
  3. Walker, Geoff. "Fundamentals of touch technologies and applications", Society for Information Display (2011)
  4. Holzinger, Andreas, "Finger instead of mouse: touch screens as a means of enhancing universal access", Universal Access Theoretical Perspectives, Practice, and Experience, Springer Berlin Heidelberg, 2003, 387-397
  5. Colgan, Evan G. , et al. , "Liquid crystal display with integrated resistive touch sensor", U. S. Patent No. 6,483,498. 19 Nov. 2002
  6. Redmayne, Derek V, "Capacitive touch sensor", U. S. Patent No. 5,650,597. 22 Jul. 1997
  7. Roth, Graham, "Capacitive Touch Screens"
  8. Xu, Lin, "Infrared Touch Screen", U. S. Patent Application 12/621,491
  9. Armstrong, Donald B, et al. , "Surface acoustic wave touch screen with housing seal", U. S. Patent No. 5,784,054. 21 Jul. 1998
  10. Barrett, Gary, and Ryomei Omote, "Projected-capacitive touch technology", Information Display 26. 3 (2010): 16-21
  11. Tim Wang & Tim Blankenship, "Projected-Capacitive Touch System from the controller Point of View," Society for Information Display, pp. 8-11, 2011
  12. Wayne Carl Westerman, "Multi-Touch Input Discrimination," US Patent 0158185, 2008
  13. Jingkai Zhang, Yan Guo, Lianghua Mo, "Multi-touch detection method for capacitive touch screens", US 2011/0221701 A1
  14. Benko, Hrvoje, Andrew D. Wilson, and Patrick Baudisch, "Precise selection techniques for multi-touch screens", Proceedings of the SIGCHI conference on Human Factors in computing systems. ACM, 2006
  15. Kim, Ki-Duk, et al. , "A capacitive touch controller robust to display noise for ultrathin touch screen displays", Solid-State Circuits Conference Digest of Technical Papers (ISSCC), 2012 IEEE International. IEEE, 2012
  16. Duwaer, Arne L, "Data processing system with a touch screen and a digitizing tablet, both integrated in an input device", U. S. Patent No. 5,402,151. 28 Mar. 1995
  17. Cuypers, Tom, et al. , "Eunomia: toward a framework for multi-touch information displays in public spaces", Proceedings of the 22nd British HCI Group Annual Conference on People and Computers: Culture, Creativity, Interaction-Volume 2. British Computer Society, 2008
  18. Schöning, Johannes, et al. , "Building interactive multi-touch surfaces", Tabletops-Horizontal Interactive Displays. Springer London, 2010. 27-49
  19. Sharp, Jeffrey L. , "Touch sensor system to detect multiple touch events", U. S. Patent No. 6,856,259. 15 Feb. 2005
  20. Chang, Wook, et al. , "Recognition of grip-patterns by using capacitive touch sensors", Industrial Electronics, 2006 IEEE International Symposium on. Vol. 4. IEEE, 2006
  21. Box, George EP, Gwilym M. Jenkins, and Gregory C. Reinsel, "Time series analysis: forecasting and control", Wiley. com, 2013
  22. Hamilton, James Douglas. , "Time series analysis", Vol. 2. Princeton: Princeton university press, 1994
  23. Pollock, Daniel Stephen Geoffrey, Richard C. Green, and Truong Nguyen, eds. , "Handbook of time series analysis, signal processing, and dynamics", Access Online via Elsevier, 1999.
  24. Comaniciu, Dorin, and Peter Meer, "Mean shift: A robust approach toward feature space analysis", Pattern Analysis and Machine Intelligence, IEEE Transactions on 24. 5 (2002): 603-619
  25. Y. Cheng (1995), "Mean Shift, Mode Seeking, and Clustering", IEEE Trans. PAMI, vol. 17 , no. 8, pp. pp. 790-799
  26. Weisberg, Sanford, "Simple linear regression", Applied Linear Regression, Third Edition (1985): 19-46
  27. Wang, Xueqin, "Asymptotics of the Theil–Sen estimator in the simple linear regression model with a random covariate", Journal of Nonparametric Statistics17. 1 (2005): 107-120
  28. Gardner, Everette S. , "Exponential smoothing: The state of the art", Journal of forecasting 4. 1 (1985): 1-28
  29. Hugh Durrant-Whyte (2001), "Introduction to Estimation and the Kalman Filter", http://www. isip40. it/resources/Dispense/DataFusionSIIT/Estimation_KF. pdf
  30. Rachel Kleinbauer "Kalman filtering: Implementation with MATLAB", http://elib. uni-stuttgart. de/opus/volltexte/2005/2183/pdf/kleinbauer. pdf
  31. Polyanin, Andrei D. , and A. D. Polianin, "Handbook of linear partial differential equations for engineers and scientists", Vol. 1584882999. Boca Raton: Chapman & Hall/CRC, 2002
  32. Chambolle, Antonin, "Partial differential equations and image processing", Image Processing, 1994. Proceedings. ICIP-94. , IEEE International Conference. Vol. 1. IEEE, 1994
  33. Weickert, Joachim, "Anisotropic diffusion in image processing", Vol. 1. Stuttgart: Teubner, 1998
  34. Mohsen Nikpour and Ehsan Nadernejad (2009), "Using PDE's for Noise Reduction in Time Series", International Journal of Computing and ICT Research, Vol. 3, No. 1, pp 42-48
  35. Savitzky, Abraham, and Marcel JE Golay, "Smoothing and differentiation of data by simplified least squares procedures", Analytical chemistry 36. 8 (1964): 1627-1639
Index Terms

Computer Science
Information Sciences

Keywords

Touch Sensing Time Series Analysis Pervasive Computing Human Computer Interaction Sensor Signal Processing Adaptive Filtering Ambient Intelligence