Design of an assistive communication glove using combined sensory channels

Proceedings - BSN 2012: 9th International Workshop on Wearable and Implantable Body Sensor Networks

Volumn , Issue , 2012, Pages 34-39

  Tanyawiwat, Netchanok ^a   Thiemjarus, Surapa ^a  

^a THAMMASAT UNIVERSITY   (Thailand)

Author keywords

American Sign Language fingerspellings; Assistive Communication Glove; Combined Sensory Channel; Contact sensors; Hand Gesture Recognition; Sensor glove

Indexed keywords

AMERICAN SIGN LANGUAGE; ASSISTIVE; CLASSIFICATION ACCURACY; CONDUCTIVE FABRICS; ELECTRICAL CONTACTS; FINGER SPELLING; FLEX SENSOR; HAND-GESTURE RECOGNITION; INPUT CHANNELS; NEW DESIGN; SENSORY CHANNELS; WIRELESS SENSOR;

BODY SENSOR NETWORKS; COMMUNICATION; CONTACT SENSORS; DESIGN;

GESTURE RECOGNITION;

EID: 84862303840     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/BSN.2012.17     Document Type: Conference Paper

References (25)

1. R. C. King, et al., "Development of a wireless sensor glove for surgical skills assessment," in IEEE Transaction on Information Technology in Biomedicine, 2009, pp. 673-679
2. D. Bannach, et al., "Waving real hand gestures recorded by wearable motion sensors to a virtual car and driver in a mixedreality parking game," in the IEEE Symposium on Computational Intelligence and Games, Honolulu, 2007, pp. 32-39.
3. G. Pradhan, et al., "Hand-gesture computing for the hearing and speech impaired," IEEE Multimedia, vol. 15, pp. 20-27, 2008.
4. S. Vutinuntakasame, et al., "An assistive body sensor network glove for speech- and hearing-impaired disabilities," in the International Conference on Body Sensor Networks, Texas, USA, 2011, pp. 7-12.
5. R.-H. Liang and M. Ouhyoung, "A real-time continuous gesture recognition system for sign language," in the IEEE International Conference on Automatic Face and Gesture Recognition, Nara, Japan, 1998, pp. 558-567.
6. C. Oz and M. C. Leu, "Recognition of finger spelling of american sign language with artificial neural network using position/orientation sensors and data glove," in the Second International Symposium on Neural Networks, Chongqing, China, 2005, pp. 157-164.
7. D. K. Sarji, "HandTalk: assistive technology for the deaf," Computer, vol. 41, pp. 84-86, 2008.
8. T. Kuroda, et al., "Consumer price data-glove for sign language recognition," in the International Conference on Disability, Virtual Reality and Associated Technologies, Oxford, UK, 2004, pp. 253-258.
9. C. V.R., "A hybrid sign language recognition system," in the eighth International Symposium on Wearable Computers, 2004, pp. 30-33.
10. H. Brashear, et al., "Using multiple sensors for mobile sign language recognition," in Seventh IEEE International Symposium on Wearable Computers, 2003, pp. 45-52.
11. Q. Munib, et al., "American sign language (ASL) recognition based on Hough transform and neural networks," Expert Systems with Applications, vol. 32, pp. 24-37, 2007. (Pubitemid 44311463)
12. P. S. Rajam and G. Balakrishnan, "Real time Indian sign language recognition system to aid deaf-dumb people," in IEEE 13th International Conference on Communication Technology, 2011, pp. 737-742.
13. T. T. Swee, et al., "Wireless data gloves malay sign language recognition system," in the International Conference on Information, Communications and Signal Processing, Singapore, 2007, pp. 1-4.
14. A. Ibarguren, et al., "Layered architecture for real time sign recognition: Hand gesture and movement," Engineering Applications of Artificial Intelligence, vol. 23, pp. 1216-1228, 2010.
15. E. Blass. (2007, 20 September 2011). Sony announces PlayStation Eye webcam for PS3. Available: http://www.engadget.com/2007/04/26/sony-announces- playstationeye-webcam-for-ps3/
16. J. Kim, et al., "Bi-channel sensor fusion for automatic sign language recognition," in the eighth IEEE International Conference on Automatic Face & Gesture Recognition, Amsterdam, 2008, pp. 1-6.
17. S. F. Ahmed, et al., "Electronic speaking glove for speechless patients," in the IEEE Conference on Sustainable Utilization and Development in Engineering and Technology, Petaling Jaya, Malaysia, 2010, pp. 56-60.
18. N. Tongrod, et al., "Design and development of data-glove based on printed polymeric sensors and zigbee networks for human computer interface," in the Fourth International Convention on Rehabilitation Engineering & Assistive Technology, Singapore, 2010.
19. A. Tognetti, et al., "Characterization of a novel data glove based on textile integrated sensors," in 28th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, New York, 2006, pp. 2510-2513.
20. (29 September 2011). 5DT fifth dimension technology. Available: http://www.5dt.com
21. B. P. L. Lo, et al., "Body sensor network - a wireless sensor platform for pervasive healthcare monitoring," in the Third International Conference on Pervasive Computing, Munich, Germany, 2005, pp. 77-80.
22. G.-Z. Yang, Body sensor networks: Springer-Verlag, 2006.
23. H.-J. Fink, "Sensor with multiplex data output," US Patent 7319418, 2008.
24. S. Thiemjarus, et al., "An eye hand data fusion framework for pervasive sensing of surgical activities " Pattern Recognition, pp. (accepted, JCR impact factor: 2.607), 2012.
25. S. Thiemjarus and G.-Z. Yang, "An autonomic sensing framework for body sensor networks," in the Second International Conference on Body Area Networks, Florence, Italy, 2007.