Gesthaar: An accelerometer-based gesture recognition method and its application in NUI driven pervasive healthcare

2012 IEEE International Conference on Emerging Signal Processing Applications, ESPA 2012 - Proceedings

Volumn , Issue , 2012, Pages 163-166

  Khan, Mridul ^a   Ahamed, Sheikh Iqbal ^b   Rahman, Miftahur ^a   Yang, Ji Jiang ^c  

^a NORTH SOUTH UNIVERSITY   (Bangladesh)

^b MARQUETTE UNIVERSITY   (United States)

^c TSINGHUA UNIVERSITY   (China)

Author keywords

accelerometer; gesture recognition; haar transform; sensor signal processing; support vector machine

Indexed keywords

ACCELERATION DATA; CROSS VALIDATION; FLUID INTERACTIONS; HAAR TRANSFORM; LOW COMPUTATIONAL COMPLEXITY; PERVASIVE HEALTHCARE; RECOGNITION ACCURACY; SIGNAL MATCHING; SUPPORT VECTOR MACHINE (SVM);

COMPUTATIONAL COMPLEXITY; GESTURE RECOGNITION; HEALTH CARE; SIGNAL PROCESSING; SUPPORT VECTOR MACHINES; USER INTERFACES;

ACCELEROMETERS;

EID: 84863258821     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ESPA.2012.6152471     Document Type: Conference Paper

References (12)

1. N. D. Lane, E. Miluzzo, H. Lu, D. Peebles, T. Choudhury, and A. T. Campbell, "A survey of mobile phone sensing," IEEE Communications Magazine, vol. 48, no. 9, pp. 140-150, Sept. 2010.
2. P. Mistry and P. Maes, "Sixthsense: A wearable gestural interface," in ACM SIGGRAPH ASIA 2009 Sketches, NY, USA, 2009, SIGGRAPH ASIA '09, ACM.
3. J. Liu, Z. Wang, Zhong L., J. Wickramasuriya, and V. Vasudevan, "uwave: Accelerometer-based personalized gesture recognition and its applications," in IEEE International Conference on Pervasive Computing and Communications (PerCom), 2009., Mar. 2009, pp. 1-9.
4. I. Daubechies, Ten Lectures on Wavelets (CBMS-NSF Regional Conference Series in Applied Mathematics), SIAM: Society for Industrial and Applied Mathematics, 1st edition, June 1992.
5. F. K. P. Chan, A. W. C. Fu, and C. Yu, "Haar wavelets for efficient similarity search of time-series: with and without time warping," IEEE Transactions on Knowledge and Data Engineering, vol. 15, no. 3, pp. 686-705, 2003.
6. P. Chang and Piau P., "Modified fast and exact algorithm for fast haar transform," Proceedings of World Academy of Science, Engineering and Technology, vol. 26, pp. 509-512, Dec. 2007.
7. C. C. Chang and C. J. Lin, "LIBSVM: A library for support vector machines," ACM Transactions on Intelligent Systems and Technology, vol. 2, May 2011.
8. A. Akl and S. Valaee, "Accelerometer-based gesture recognition via dynamic-time warping, affinity propagation, compressive sensing," in IEEE International Conference on Acoustics Speech and Signal Processing (ICASSP), 2010, Mar. 2010, pp. 2270-2273.
9. M. Joselli and E. Clua, "grmobile: A framework for touch and accelerometer gesture recognition for mobile games," in VIII Brazilian Symposium on Games and Digital Entertainment (SBGAMES), 2009, Oct. 2009, pp. 141-150.
10. Z. He, L. Jin, L. Zhen, and Huang J., "Gesture recognition based on 3d accelerometer for cell phones interaction," in IEEE Asia Pacific Conference on Circuits and Systems (APCCAS), 2008, Dec. 2008, pp. 217-220.
11. C. W. Hsu, C. C. Chang, and C. J. Lin, "A Practical Guide to Support Vector Classification," Department Of Computer Scince and Information Engineering, National Taiwan University, 2003.
12. J. Kela, P. Korpipaa, J. Mantyjarvi, S. Kallio, G. Savino, L. Jozzo, and S. D. Marca, "Accelerometer-based gesture control for a design environment," Personal and Ubiquitous Computing, vol. 10, no. 5, pp. 285-299, July 2006. (Pubitemid 44151449)