References
[1]. Agrafiotis, D., Canagarajah, C. N., Bull, D. R., Kyle, J.,
Seers, H., & Dye, M. (2004). A video coding system for sign
language communication at low bit rates. In 2004
International Conference on Image Processing (ICIP'04)
Singapore (Vol. 1, pp. 441-444). IEEE.
[2]. Akalin, N., Uluer, P., & Kose, H. (2014, November). Nonverbal
communication with a social robot peer: Towards
robot assisted interactive sign language tutoring. In
Humanoid Robots (Humanoids), 2014 14 IEEE-RAS
International Conference on (pp. 1122-1127). IEEE.
[3]. Akalin, N., Uluer, P., Kose, H., & Ince, G. (2013,
November). Humanoid robots communication with
participants using sign language: An interaction based
sign language game. In Advanced Robotics and its
Social Impacts (ARSO), 2013 IEEE Workshop on (pp. 181-
186). IEEE.
[4]. Aoki, Y., Mitsumori, R., Li, J., & Burger, A. (1998, May).
Sign language communication between Japanese-
Korean and Japanese-Portuguese using CG animation.
In Acoustics, Speech and Signal Processing, 1998.
Proceedings of the 1998 IEEE International Conference
on (Vol. 6, pp. 3765-3768). IEEE.
[5]. Aoki, Y., Tanahasi, S., Burger, A., Hattori, H., & Wakoh,
H. (1997, September). Development of a CG-animation
system for sign language communication between
different languages. In Information, Communications
and Signal Processing, 1997. ICICS, Proceedings of 1997
International Conference on (Vol. 3, pp. 1668-1671). IEEE.
[6]. Bajpai, D., Porov, U., Srivastav, G., & Sachan, N.
(2015, April). Two Way Wireless Data Communication and
American Sign Language Translator Glove for Images Text
and Speech display on Mobile Phone. In Communication
Systems and Network Technologies (CSNT), 2015 Fifth
International Conference on (pp. 578-585). IEEE.
[7]. Balbin, J. R., Padilla, D. A., Caluyo, F. S., Fausto, J. C.,
Hortinela, C. C., Manlises, C. O., et al. (2016, November).
Sign language word translator using Neural Networks for
the Aurally Impaired as a tool for communication. In
Control System, Computing and Engineering (ICCSCE),
2016 6 IEEE International Conference on (pp. 425-429).
IEEE.
[8]. Chai, X., Wang, H., Yin, F., & Chen, X. (2015,
September). Communication tool for the hard of
hearings: A large vocabulary sign language recognition
system. In Affective Computing and Intelligent
Interaction (ACII), 2015 International Conference on (pp.
781-783). IEEE.
[9]. Chikkanna, M., & Guddeti, R. M. R. (2013, August).
Kinect based real-time gesture spotting using HCRF. In Advances in Computing, Communications and
Informatics (ICACCI), 2013 International Conference on
(pp. 925-928). IEEE.
[10]. Chon, J., Cherniavsky, N., Riskin, E. A., & Ladner, R. E.
(2009, November). Enabling access through real-time
sign language communication over cell phones. In
Signals, Systems and Computers, 2009 Conference
Record of the Forty-Third Asilomar Conference on (pp.
588-592). IEEE.
[11]. Das, A., Yadav, L., Singhal, M., Sachan, R., Goyal, H.,
Taparia, K., et al. (2016, December). Smart glove for Sign
Language communications. In Accessibility to Digital
World (ICADW), 2016 International Conference on (pp.
27-31). IEEE.
[12]. Dogramadzi, S., Allen, C. R., Bell, G. D., & Rowland,
R. (1999). An electromagnetic imaging system for remote
sign language communication. In Instrumentation and
Measurement Technology Conference, 1999. IMTC/99.
Proceedings of the 16 IEEE (Vol. 3, pp. 1443-1446). IEEE.
[13]. Elmezain, M., Al-Hamadi, A., & Michaelis, B. (2010a,
August). A robust method for hand gesture segmentation
and recognition using Forward Spotting scheme in
conditional random fields. In Pattern Recognition (ICPR),
2010 20 International Conference on (pp. 3850-3853).
IEEE.
[14]. Elmezain, M., Al-Hamadi, A., Sadek, S., & Michaelis,
B. (2010b, December). Robust methods for hand gesture
spotting and recognition using Hidden Markov Models
and conditional random fields. In Signal Processing and
Information Technology (ISSPIT), 2010 IEEE International
Symposium on (pp. 131-136). IEEE.
[15]. Elmezain, M., Al-Hamadi, A., & Michaelis, B. (2009,
November). Hand trajectory-based gesture spotting and
recognition using HMM. In Image Processing (ICIP), 2009
16 IEEE International Conference on (pp. 3577-3580).
IEEE.
[16]. Erazo, O., Baloian, N., Pino, J. A., & Ochoa, S. F.
(2017, April). Designing hand gesture interfaces for
easing students participation from their spot. In Computer
Supported Cooperative Work in Design (CSCWD), 2017
IEEE 21 International Conference on (pp. 133-138). IEEE.
[17]. Erdem, U. M., & Sclaroff, S. (2002). Automatic
detection of relevant head gestures in American Sign
Language communication. In Pattern Recognition,
2002. Proceedings. 16 International Conference on
(Vol. 1, pp. 460-463). IEEE.
[18]. Ichikawa, Y., Tashiro, S., Ito, H., & Hikawa, H. (2016,
December). Real time gesture recognition system with
gesture spotting function. In Computational Intelligence
(SSCI), 2016 IEEE Symposium Series on (pp. 1-7). IEEE.
[19]. Kim, D., Song, J., & Kim, D. (2007). Simultaneous
gesture segmentation and recognition based on forward
spotting accumulative HMMs. Pattern Recognition,
40(11), 3012-3026.
[20]. Kim, S. W., Lee, J. M., Oh, J. Y., & Aoki, Y. (1999). A
Comparative study on the sign-language communication systems between Korea and Japan
through 2D and 3D character models on the Internet. In
Image Processing, 1999. ICIP 99. Proceedings. 1999
International Conference on (Vol. 4, pp. 227-231). IEEE.
[21]. Kim, S. W., Li, Z. X., & Aoki, Y. (2004, December). On
intelligent avatar communication using Korean, Chinese,
and Japanese sign-languages: An overview. In Control,
Automation, Robotics and Vision Conference, 2004.
ICARCV 2004 8 (Vol. 1, pp. 747-752). IEEE.
[22]. Krak, I., & Kondratiuk, S. (2017, September). Crossplatform
software for the development of sign
communication system: Dactyl language modelling. In
Computer Sciences and Information Technologies (CSIT),
2017 12 International Scientific and Technical
Conference on (Vol. 1, pp. 167-170). IEEE.
[23]. Krishnan, N. C., Lade, P., & Panchanathan, S. (2010,
July). Activity gesture spotting using a threshold model
based on adaptive boosting. In Multimedia and Expo
(ICME), 2010 IEEE international conference on (pp. 155-
160). IEEE.
[24]. Lee, D., Yoon, H., & Kim, J. (2016, October).
Continuous gesture recognition by using gesture spotting.
In Control, Automation and Systems (ICCAS), 2016 16
International Conference on (pp. 1496-1498). IEEE.
[25]. Li, J., Aoki, Y., & Kim, S. W. (1998). Development of a
sign language communication system between Japanese and Korean. In Signal Processing Proceedings,
1998. ICSP'98. 1998 Fourth International Conference on
(Vol. 2, pp. 916-919). IEEE.
[26]. López-Noriega, J. E., Fernández-Valladares, M. I., &
Uc-Cetina, V. (2014, September). Glove-based sign
language recognition solution to assist communication
for deaf users. In Electrical Engineering, Computing
Science and Automatic Control (CCE), 2014 11
International Conference on (pp. 1-6). IEEE.
[27]. Malgireddy, M. R., Corso, J. J., Setlur, S.,
Govindaraju, V., & Mandalapu, D. (2010, August). A
framework for hand gesture recognition and spotting
using sub-gesture modeling. In Pattern Recognition
(ICPR), 2010 20 International Conference on (pp. 3780-
3783). IEEE.
[28]. Manoranjan, M. D., & Robinson, J. A. (2000).
Practical low-cost visual communication using binary
images for deaf sign language. IEEE Transactions on
Rehabilitation Engineering, 8(1), 81-88.
[29]. Morguet, P., & Lang, M. (1998, October). Spotting
dynamic hand gestures in video image sequences using
Hidden Markov Models. In Image Processing, 1998. ICIP
98. Proceedings. 1998 International Conference on (pp.
193-197). IEEE.
[30]. Nagaya, S., Seki, S., & Oka, R. (1996, October). A
theoretical consideration of pattern space trajectory for
gesture spotting recognition. In Automatic Face and
Gesture Recognition, 1996. Proceedings of the Second
International Conference on (pp. 72-77). IEEE.
[31]. Neto, P., Pereira, D., Pires, J. N., & Moreira, A. P. (2013,
May). Real-time and continuous hand gesture spotting:
An approach based on Artificial Neural Networks. In
Robotics and Automation (ICRA), 2013 IEEE International
Conference on (pp. 178-183). IEEE.
[32]. Peng, B., & Qian, G. (2011). Online gesture spotting
from visual hull data. IEEE Transactions on Pattern Analysis
and Machine Intelligence, 33(6), 1175-1188.
[33]. Raghavan, R. J., Prasad, K. A., Muraleedharan, R., &
Geetha, M. (2013, October). Animation system for Indian
Sign Language communication using LOTS notation. In
Emerging Trends in Communication, Control, Signal Processing & Computing Applications (C2SPCA), 2013
International Conference on (pp. 1-7). IEEE.
[34]. Roh, M. C., Christmas, B., Kittler, J., & Lee, S. W.
(2006, April). Gesture spotting in low-quality video with
features based on curvature scale space. In Automatic
Face and Gesture Recognition, 2006. FGR 2006. 7
International Conference on (pp. 375-380). IEEE.
[35]. Samraj, A., Mehrdel, N., & Sayeed, S. (2017, May).
Sign language communication and authentication using
sensor fusion of hand glove and photometric signals. In
Information Technology (ICIT), 2017 8 International
Conference on (pp. 214-221). IEEE.
[36]. Siau, T. L., & Li, L. (2001, December). An online sign
language communication system. In Web Information
Systems Engineering, 2001. Proceedings of the Second
International Conference on (Vol. 1, pp. 142-147). IEEE.
[37]. Vassilia, P. N., & Konstantinos, M. G. (2003, July).
Towards an assistive tool for Greek Sign Language
communication. In Advanced Learning Technologies,
2003. Proceedings. The 3 IEEE International Conference
on (pp. 125-129). IEEE.
[38]. Whybray, M. W. (1992, October). Moving picture
transmission at low bitrates for sign language
communication. In Image Processing for Disabled
People, IEE Colloquium on (pp. 8-1). IET.
[39]. Xie, C., Cheng, J., Xie, Q., & Zhao, W. (2010,
October). Vision-based hand gesture spotting and
recognition. In Information Networking and Automation
(ICINA), 2010 International Conference on (Vol. 1,
pp.391-395). IEEE.
[40]. Yang, H. D., Park, A. Y., & Lee, S. W. (2007). Gesture
spotting and recognition for human-robot interaction.
IEEE Transactions on Robotics, 23(2), 256-270.
[41]. Yang, H. D., Park, A. Y., & Lee, S. W. (2006, April).
Robust spotting of key gestures from whole body motion
sequence. In Automatic Face and Gesture Recognition,
2006. FGR 2006. 7 International Conference on (pp.
231-236). IEEE.
[42]. Yang, X. (2013, December). Error resilient multiple
description coding for mobile sign language
communication. In Image and Signal Processing (CISP), 2013 6 International Congress on (Vol. 1, pp. 21-25). IEEE.
[43]. Yao, Y., & Li, C. T. (2015, September). Hand gesture
recognition and spotting in uncontrolled environments
based on classifier weighting. In Image Processing (ICIP),
2015 IEEE International Conference on (pp. 3082-3086).
IEEE.
