A recognition method for one-stroke finger gestures using a MEMS 3d accelerometer

IEICE Transactions on Information and Systems

Volumn E94-D, Issue 5, 2011, Pages 1062-1072

  Jing, Lei ^a   Zhou, Yinghui ^a   Cheng, Zixue ^a   Wang, Junbo ^a  

^a UNIVERSITY OF AIZU   (Japan)

Author keywords

Accelerometer; Finger gesture recognition; Gesture recognition; Homecare; Ubiquitous computing; Wearable computing

Indexed keywords

ACCELEROMETERS; COST EFFECTIVENESS; DECISION TREES; DOMESTIC APPLIANCES; PALMPRINT RECOGNITION; UBIQUITOUS COMPUTING;

ACCELEROMETER-BASED METHODS; AUTOMATIC RECOGNITION; DECISION TREE CLASSIFIERS; EXPERIMENT METHODS; HOMECARE; NEAREST NEIGHBOR CLASSIFIER; RECOGNITION METHODS; WEARABLE COMPUTING;

GESTURE RECOGNITION;

EID: 79955619809     PISSN: 09168532     EISSN: 17451361     Source Type: Journal    
DOI: 10.1587/transinf.E94.D.1062     Document Type: Article

References (25)

1. C.G. Wolf and P. Morrel-Samuels, "The use of hand-drawn gestures for text editing," International Journal of Man-Machine Studies, vol.27, no.1, pp.91-102, 1987. (Pubitemid 17163093)
2. A.G. Hauptmann, "Speech and gestures for graphic image manipulation," ACM SIGCHI Bulletin, vol.20, no.SI, pp.241-245, 1989.
3. W.S. Harwin and R.D. Jackson, "Analysis of intentional head gestures to assist computer access by physically disabled people," J. Biomedical Engineering, vol.12, no.3, pp.193-198, 1990. (Pubitemid 20141167)
4. S. Mitra and A. Tinku, "Gesture Recognition: A Survey," IEEE Trans. Syst. Man Cybern. C, Appl. Rev., vol.37, no.3, pp.311-323, 2007.
5. A. Harter, P. Steggles, A. Ward, and P. Webster, "The anatomy of a context-aware application,"Wirel. Netw., vol. 2-3, no.8, pp. 187-197. (Pubitemid 34168126)
6. C.R. Wren and E.M. Tapia, "Toward scalable activity recognition for sensor networks," Proc. 2nd International Workshop in Location and Context-Awareness (LoCA '06), pp.168-185, Dublin, Ireland, 2006. (Pubitemid 44045003)
7. B. Logan, J. Healey, and M. Philipose, "A long-term evaluation of sensing modalities for activity recognition," UbiComp'07, pp.483-500, 2007.
8. H. Sawada and S. Hashimoto, "Gesture recognition using acceleration sensor and its application for musical performance control," IEICE Trans. Fundamentals (Japanese Edition), vol.J79-A, no.2, pp.452-459, Feb. 1996.
9. J. Mäntyjärvi, J. Himberg, and T. Seppänen, "Recognizing human motion with multiple acceleration sensors," 2001 IEEE International Conference on Systems, Man, and Cybernetics 2001, pp.747-752, Tucson, Arizona, USA, 2001. (Pubitemid 34210533)
10. K. Tsukada and M. Yasumura, "Ubi-finger: Gesture input device for mobile use," Trans. Information Processing Society of Japan, no.43, vol.12, pp.3675-3684, 2002.
11. M. Sama, V. Pacella, E. Farella, L. Benini, and B. Ricc, "3dID: A low-power, low-cost hand motion capture device," Proc. Conference on Design, Automation and Test in Europe: Designers' Forum, European Design and Automation Association, Munich, Germany, 2006.
12. C. Mattmann, O. Amft, H. Harms, G. Troster, and F. Clemens, "Recognizing upper body postures using textile strain sensors," Proc. 11th IEEE International Symposium onWearable Computers, pp.1-8, IEEE Computer Society, Boston, MA, 2007.
13. F. Lorussi, S.E. Pasquale, M. Tesconi, A. Tognetti, and D. Rossi, "Strain sensing fabric for hand posture and gesture monitoring." IEEE Trans. Inf. Technol. Biomed., vol.9, no.3, pp.372-381, 2005. (Pubitemid 41388203)
14. L. Bao and S.S. Intille, "Activity recognition from user-annotated acceleration data," Pervasive 2004, pp.1-17, Springer, Linz, Vienna, 2004.
15. P. Juha, E. Miikka, K. Panu, M. Jani, P. Johannes, and K. Ilkka, "Activity classification using realistic data from wearable sensors," IEEE Trans. Inf. Technol. Biomed., vol.10, no.1, pp.119-128, 2006.
16. J. Liu, Z. Wang, L. Zhong, J. Wickramasuriya, and V. Vasudevan, "uWave: Accelerometer-based personalized gesture recognition and its applications," IEEE International Conference on Pervasive Computing and Communications (PerCom 2009), 2009.
17. 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 Ubiquitous Comput, vol.10, no.5, pp.285-299, 2006. (Pubitemid 44151449)
18. S. Zhou, Q. Shan, F. Fei, W. Li, C. Kwong, P. Wu, B. Meng, C. Chan, and J. Liou, "Gesture recognition for interactive controllers using MEMS motion sensors," Proc. 4th IEEE Internaltional Conference on Nano/Micro Engineered and Molecular Systems, Shenzhen, China, 2009.
19. Z. He, L. Jin, L. Zhen, and J. Huang, "Gesture recognition based on 3D accelerometer for cell phones interaction," IEEE 9th biennial Asia Pacific Conference on Circuits and Systems (APCCAS 2008), pp.217-220, Macao, China, 2008.
20. M. Lustrek and B. Kaluza, "Fall detection and activity recognition with machine learning," Informatica, vol.33, no.2, pp.205-212, 2009.
21. Y. Hong, I. Kim, S. Ahn, and H. Kim, "Activity recognition using wearable sensors for elder care," Proc. 2nd International Conference on Future Generation Communication and Networking, 2008, pp.302-305, IEEE Computer Society, Hainan, China, 2008.
22. T. Schllomer, B. Poppinga, N. Henze, and S. Boll, "Gesture recognition with a Wii controller," Proc. 2nd international conference on Tangible and embedded interaction, pp.11-14, ACM, Bonn, Germany, 2008. (Pubitemid 351585341)
23. M. Fukumoto and Y. Tonomura, "UbiButton: A bracelet sytle fulltime wearable commander," Information Processing Society of Japan, vol.40, no.2, pp.389-398, 1999.
24. Weka Homepage. Available from: http://weka.wikispaces.com/
25. S. Theodoridis and K. Koutroumbas, Pattern Recognition, 4th ed., Academic Press, 2008.