Open Access Journal

ISSN : 2394-2320 (Online)

International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Monthly Journal for Computer Science and Engineering

Open Access Journal

International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Monthly Journal for Computer Science and Engineering

ISSN : 2394-2320 (Online)

Reference :

    1. S. Mitra and T. Archary, “Gesture recognition: A survey,” IEEE Trans Syst Man Cybern Part C (Applications Rev), vol. 37, no. 3, pp. 311–324, 2007.
    2. Tea Marasovic , Vladan Papic ,”User-Dependent Gesture Recognition on Android Handheld Devices” 22nd International Conference onSoftware, Telecommunications and Computer Networks (SoftCOM), 2014.
    3. T.Pylvänäinen,“Accelerometer based gesture recognition using continuous hidden Markov models,” Pattern Recognit Image Anal, pp. 639–645, 2005.
    4. M. Kauppila, T. Inkeroinen, S. Pirttikangas, and J. Riekki, “Mobile phone controller based on accelerative gesturing,” in Proc. 6th Int Conf Pervasive Comput, 2008, pp. 130–133.
    5. T. Schlömer, B. Poppinga, N. Henze, and S. Boll, “Gesture recognition with a Wii controller,” in Proc. 2nd Int Conf Tangible Embed Interact, 2008, pp. 11–14.
    6. J. Liu, L. Zhong, J. Wickramasuriya, and V. Vasudevan, “uWave: Accelerometer-based personalized gesture recognition and its applica- tions,” Pervasive Mob Comput, vol. 5, no. 6, pp. 657–675, 2009.
    7. A. Akl, C. Feng, and S. Valaee, “A novel accelerometer-based gesture recognition system,” IEEE Trans Signal Process, vol. 59, no. 12, pp. 6197–6205, 2011.
    8. G. Niezen and G. P. Hancke, “Evaluating and optimising accelerometer- based gesture recognition techniques for mobile devices,” in Proc. IEEE AFRICON Conf, 2009, pp. 1–6.
    9. E. Keogh, C. A. Ratanamahatana, “Exact Indexing of Dynamic Time Warping”, In Proceedings of International Conference on Very Large Data Bases (VLDB), pp. 406- 417, 2002.
    10. T. Marasovic and V. Papic , “A novel feature descriptor for gesture classification using smartphone accelerometers,” in Proc. 18th IEEE Symp Comput Commun, 2013.
    11. Miroslav Takács and Valentino Vranić, “Creating, composing, and recognizing multisensor gestures in mobile devices”, IEEE 19th International Conference on Intelligent Engineering Systems (INES), 2015.pp237 - 242
    12. K. Q. Weinberger, J. Blitzer, and L. K. Saul, “Distance metric learning for large margin nearest neighbour classification,” J Mach Learn Res, vol. 10, pp. 207–244, 2009.
    13. T. Marasovic and V. Papic , “Accelerometer-based gesture recognition system using distance metric learning for nearest neighbour classifica- tion,” in Proc. 2012 IEEE Int Work Mach Learn Signal Process, 2012.
    14. J. Kela et al., “Accelerometer-based gesture control for a design environment,” Pers Ubiquitous Comput, vol. 10, no. 5, pp. 285–299, 2006
    15. Overview of sensors on Android platform, Available on[URL:http://developer.android.com/guide/topics/sensors /sensors_overview.html], Accessed on: 31 March 2016

Recent Article