Browse > Article
http://dx.doi.org/10.5391/IJFIS.2006.6.4.304

GripLaunch: a Novel Sensor-Based Mobile User Interface with Touch Sensing Housing  

Chang, Wook (Advanced Systems Research Lab, Multimodal Mobile I/O System TF, Samsung Advanced Institute of Technology (SAIT))
Park, Joon-Ah (Advanced Systems Research Lab, Multimodal Mobile I/O System TF, Samsung Advanced Institute of Technology (SAIT))
Lee, Hyun-Jeong (Advanced Systems Research Lab, Multimodal Mobile I/O System TF, Samsung Advanced Institute of Technology (SAIT))
Cho, Joon-Kee (Advanced Systems Research Lab, Multimodal Mobile I/O System TF, Samsung Advanced Institute of Technology (SAIT))
Soh, Byung-Seok (Advanced Systems Research Lab, Multimodal Mobile I/O System TF, Samsung Advanced Institute of Technology (SAIT))
Shim, Jung-Hyun (Advanced Systems Research Lab, Multimodal Mobile I/O System TF, Samsung Advanced Institute of Technology (SAIT))
Yang, Gyung-Hye (Advanced Systems Research Lab, Multimodal Mobile I/O System TF, Samsung Advanced Institute of Technology (SAIT))
Cho, Sung-Jung (Advanced Systems Research Lab, Multimodal Mobile I/O System TF, Samsung Advanced Institute of Technology (SAIT))
Publication Information
International Journal of Fuzzy Logic and Intelligent Systems / v.6, no.4, 2006 , pp. 304-313 More about this Journal
Abstract
This paper describes a novel way of applying capacitive sensing technology to a mobile user interface. The key idea is to use grip-pattern, which is naturally produced when a user tries to use the mobile device, as a clue to determine an application to be launched. To this end, a capacitive touch sensing system is carefully designed and installed underneath the housing of the mobile device to capture the information of the user's grip-pattern. The captured data is then recognized by dedicated recognition algorithms. The feasibility of the proposed user interface system is thoroughly evaluated with various recognition tests.
Keywords
Capacitive touch sensing; mobile terminal, recognition; grip-pattern recognition; accelerometer; motion sensing;
Citations & Related Records
연도 인용수 순위
  • Reference
1 G. Abowd, E. D. M. T., and Rodden, 'The human experience,' IEEE Pervasive Computing, Vol. 1, no. 1, pp. 48-57, Jan.-March 2002   DOI   ScienceOn
2 C. von Hardenberg and F. Berard, 'Bare-hand human-computer interaction,' in PUT '01: Proceedings of the 2001 workshop on Perceptive user interfaces. New York, NY, USA: ACM Press, 2001, pp. 1-8
3 P. Dietz and D. Leigh, 'DiamondTouch: a multiuser touch technology,' in UIST '01: Proceedings of the 14th annual ACM symposium on User interface software and technology. New York, NY, USA: ACM Press, 2001, pp. 219-226
4 J. Rekimoto, 'SmartSkin: an infrastructure for freehand manipulation on interactive surfaces,' in CHI '02: Proceedings of the SIGCHI conference on Human factors in computing systems. New York, NY, USA: ACM Press, 2002, pp. 113-120
5 V. J. Lumelsky, M. S. Shur, and S. Wagner, 'Sensitive skin,' IEEE Sensors Journal, vol. 1, no. 1, pp. 41-51, July 2001   DOI   ScienceOn
6 C. Liu and H. Wechsler, 'A unified Bayesian framework for face recognition,' in Proc, 1998 International Conference on Image Processing, ICIP'98, Chicago, Illinois, USA, Oct. 1998
7 S. Kozo, 'Portable telephone set,' Japanese Patent Request 1999-239201, Aug. 31, 1999
8 J. Yang, E. S. Choi, W. Chang, W. C. Bang, S. J. Cho, J. K. Oh, J. K. Cho, and D. Y. Kim, 'A novel hand gesture-based input device with inertial sensing technique,' in Proc. IECON2004, Vol. 3, Nov. 2004, pp. 2786-2791
9 S. Takehiko, 'Image pickup device,' Japanese Patent Request 2003-319221, Nov. 7, 2003
10 R. N. J. Veldhuis, A. M. Bazen, J. Kauffman, and P. H. Hartel, 'Biometric verification based on grip-pattern recognition (invited paper),' in Proc. IS&T/SPIE 16th Annual Symp. on Electronic Imaging - Security, Steganogmphy, and Watermarking of Multimedia Contents, E. J. Delp III and P. W. Wong, Eds., vol. 5306. San Jose, California: SPIE - The Int. Society for Optical Engineering, Jan. 2004, pp. 634-641
11 K. Noriyoshi, 'Function switching device and its program recording medium,' Japanese Patent Request 2000-330946, Nov. 30, 2000
12 J. Rekimoto, 'ThumbSense: automatic input mode sensing for touchpad-based interactions,' in CHI '03: CHI '03 extended abstracts on Human factors in computing systems. New York, NY, USA: ACM Press, 2003, pp. 852-853
13 P. Korpipaa, J. Mantyjarvi, J. Kela, H. Keranen, and E. J. Malm, 'Managing context information in mobile devices,' IEEE Pervasive Computing, vol. 2, no. 3, pp. 42-51, July-Sept. 2003   DOI   ScienceOn
14 J. Rekimoto, H. Oba, and T. Ishizawa, 'Smart-Pad: a finger-sensing keypad for mobile interaction,' in CHI '03: CHI '03 extended abstracts on Human factors in computing systems. New York, NY, USA: ACM Press, 2003, pp. 850-851
15 I. Rish, 'An empirical study of the naive Bayes classifier,' in IJCAI-01 workshop on Empirical Methods in AI, 2001, pp. 41-46. [Online]. Available: http://www.cc.gatech.edu/isbell/classes/reading/papers/Rish.pdf
16 T. Hiroyuki, 'Portable telephone equipment,' Japanese Patent Request 1997-172476, June 30, 1997
17 K. R. Wheeler and C. C. Jorgensen, 'Gestures as input: neuroelectric joysticks and keyboards,' IEEE Pervasive Computing, no. 2, pp. 56-61, April-June 2003
18 M. Gold, J. T. Chahin, J. Clark, A. Ledin, and M. Schwirn, 'Recent innovations in user interface,' SRI Consulting, Tech. Rep., July 2004
19 Y. S. Kim, B. S. Soh, and S.-G. Lee, 'A new wearable input device: Scurry,' IEEE Transactions on Industrial Electronics, Vol. 52, no. 6, pp. 1490-1499, Dec. 2005   DOI   ScienceOn
20 H.-K. Lee, S.-I. Chang, and E. Yoon, 'A capacitive proximity sensor in dual implementation with tactile imaging capability on a single flexible platform for robot assistant applications,' in Proc. 19th IEEE International Conference on Micro Electro Mechanical Systems, Istanbul, Jan. 2006, pp. 606-609
21 T. Lambrou, P. Kudumakis, R. Speller, M. Sandler, and A. Linney, 'Classification of audio signals using statistical features on time and wavelet transform domains,' in Proceedings of the 1998 IEEE International Conference on Acoustics, Speech, and Signal Processing, 1998. ICASSP '98, vol. 6, Seattle, WA, May 1998, pp. 3621-3624
22 K. Duan and S. S. Keerthi, 'Which is the best multiclass SVM method? an empirical study,' in Proc. NIPS'03, 2003
23 K. Hinckley, J. S. Pierce, M. Sinclair, and E. Horvitz, 'Sensing techniques for mobile interaction,' In UIST, 2000, pp. 91-100. [Online]. Available: citeseer.ist.psu.edu/hinckley00sensing.html
24 H. Z. Tan, L. A. Slivovsky, and A. Pentland, 'A sensing chair using pressure distribution sensors,' IEEE/ASME Transactions on Mechatronics, Vol. 6, no. 3, pp. 261-268, Sept. 2001   DOI   ScienceOn
25 E. Ghulam, 'Hand gesturing input device,' U.S. Utility Patent Application 20030117376, June 26, 2003
26 P. Korpipaa;, M. Koskinen, J. Peltola, S.-M. Makela;, and T. Seppanen, 'Bayesian approach to sensor-based context awareness,' Personal Ubiquitous Comput., vol. 7, no. 2, pp. 113-124, 2003   DOI
27 J. Rekimoto, T. Ishizawa, C. Schwesig, and H. Oba, 'PreSense: interaction techniques for finger sensing input devices,' in UIST '03: Proceedings of the 16th annual ACM symposium on User interface software and technology. New York, NY, USA: ACM Press, 2003, pp. 203-212
28 G. D. Morrison, 'A camera-based input device for large interactive displays,' IEEE Computer Graphics and Applications, pp. 52-57, July / August 2005   DOI   ScienceOn
29 B. Schlkopf and A. J. Smola, Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond (Adaptive Computation and Machine Learning), 1st ed. The MIT Press, Dec. 2001