Development of a single 3-axis accelerometer sensor based wearable gesture recognition band

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 4611 LNCS, Issue , 2007, Pages 43-52

  Cho, Il Yeon ^a   Sunwoo, John ^a   Son, Yong Ki ^a   Oh, Myoung Hwan ^a   Lee, Cheol Hoon ^b  

^a Electronics and Telecommunications Research Institute (ETRI)   (South Korea)

^b Chungnam National University   (South Korea)

Author keywords

[No Author keywords available]

Indexed keywords

ACCELEROMETERS; DATA TRANSFER; GESTURE RECOGNITION; INFORMATION ANALYSIS; SENSORS;

INFORMATION DATA; WEARABLE GESTURE RECOGNITION BAND;

WEARABLE COMPUTERS;

EID: 38049029872     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-73549-6_5     Document Type: Conference Paper

References (19)

1. Brashear, H., Starner, T., Lukowicz, P., Junker, H.: Using Multiple Sensors for Mobile Sign Language Recognition. In: Proc. IEEE International Symposium on Wearable Computers, pp. 45-52. IEEE Computer Society Press, Los Alamitos (2003)
2. Randell, C., Muller, H.: Context Awareness by Analyzing Accelerometer Data. In: Proc. IEEE International Symposium on Wearable Computers, pp. 175-176. IEEE Computer Society Press, Los Alamitos (2000)
3. Lee, H.K., Kim, J.H.: An HMM-based threshold model approach for gesture recognition. Transactions on Pattern Analysis and Machine Intelligence, 961-973 (1999)
4. Yamato, J., Ohya, J., Ishii, K.: Recognizing Human Actions in Time-Sequential Images Using Hidden Markov Models. In: Proc. Computer Vision and Pattern Recognition, pp. 379-385 (1992)
5. Schlenzig, J., Hunter, E., Jain, R.: Recursive Identification of Gesture Inputs Using Hidden Markov Models. In: Proc. Conference on Applications of Computer Vision, pp. 187-194 (1994)
6. Campbell, L., Becker, D., Azarbayejani, A., Bobick, A., Pentland, A.: Invariant Features for 3-d Gesture Recognition. In: Proc. International Conference on Face and Gesture Recognition, pp. 157-162 (1996)
7. Pylyanainen, T.: Accelerometer Based Gesture Recognition Using Continuous HMMs. In: Proc. International Conference on Pattern Recognition and Image Analysis, pp. 639-646 (2005)
8. Jang, I.J., Park, W.B.: A Gesture-Based Control for Handheld Devices Using Accelerometer. In: Proc. International Conference on Progress in Pattern Recognition, Image Analysis and Applications, pp. 259-266 (2004)
9. Rekimoto, J.: Gesture Wrist and GesturePad: Unobtrusive Wearable Interaction Devices. In: Proc. IEEE International Symposium on Wearable Computers, pp. 21-27. IEEE Computer Society Press, Los Alamitos (2001)
10. Baudel, T., beaudouin-Lafon, M.: Charade: Remote Control of Objects Using Free-hand Gestures. Communications of the ACM 36, 28-35 (1993)
11. Starner, T., Auxier, J., Ashbrook, D., Gandy, M.: The Gesture Pendant: A Self-Illuminating, wearable, Infrared Computer Vision System for Home Automation Control and Medical Monitoring. In: Proc. International Symposium on Wearable Computers, pp. 87-94 (2000)
12. Fukumoto, M., Tonomura, Y.: Body Coupled FingerRing: Wireless Wearable Keyboard. In: Proc. CHI, pp. 147-154 (1997)
13. Perng, J.K., Fisher, B., Hollar, S., Pister, K.S.J.: Acceleration Sensing Glove (ASG). In: Proc. International Symposium on Wearable Computers, pp. 178-180 (1999)
14. Kionix, Inc. USB Demo Board Kit User's Manual. User's manual, Kionix Inc. (2006)
15. Kortuem, G., Segall, Z., Bauer, M.: Context-Aware, Adaptive Wearable Computers as Remote Interfaces to Intelligent' Environments. In: Proc. IEEE International Symposium on Wearable Computers, pp. 58-65. IEEE Computer Society Press, Los Alamitos (2000)
16. Thomas, B., Grimmer, K., Mackovec, D., Zueco, J., Gunther, B.: Determination of Placement of a Body-attached Mouse as a Pointing Device for Wearable Computers. In: Proc. International Symposium on Wearable Computers, pp. 193-194 (1999)
17. Ahn, H.J., Cho, M.H., Jung, M.J., Kim, Y.H., Kim, J.M., Lee, C.H.: UbiFOS: A Small Real-Time Operating System for Embedded Systems. ETRI Journal 29(3) (submitted for publication, 2007)
18. HTK Hidden Markov Model Toolkit home page http://htk.eng.cam.ac.uk/
19. Khotake, N., Rekimoto, J., Anzai, Y.: InfoStick: an interaction device for Inter-Appliance Computing. In: Proc. International Symposium on Handheld and Ubiquitous Computing, pp. 246-258 (1999)