SignTutor: An Interactive System for Sign Language Tutoring

Language learning can only advance with practice and corrective feedback. The interactive system, SignTutor, evaluates users' signing and gives multimodal feedback to help improve signing.

[1]  Min C. Shin,et al.  Effect of colorspace transformation, the illuminance component, and color modeling on skin detection , 2004, CVPR 2004.

[2]  W. Stokoe,et al.  Sign language structure: an outline of the visual communication systems of the American deaf. 1960. , 1961, Journal of deaf studies and deaf education.

[3]  Alice Caplier,et al.  Head nods analysis: interpretation of non verbal communication gestures , 2005, IEEE International Conference on Image Processing 2005.

[4]  Surendra Ranganath,et al.  Automatic Sign Language Analysis: A Survey and the Future beyond Lexical Meaning , 2005, IEEE Trans. Pattern Anal. Mach. Intell..

[5]  Lawrence R. Rabiner,et al.  A tutorial on hidden Markov models and selected applications in speech recognition , 1989, Proc. IEEE.

[6]  Dima Damen,et al.  Recognizing linked events: Searching the space of feasible explanations , 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.

[7]  Dimitris N. Metaxas,et al.  ASL recognition based on a coupling between HMMs and 3D motion analysis , 1998, Sixth International Conference on Computer Vision (IEEE Cat. No.98CH36271).

[8]  Koray Balci.  Xface: Open Source Toolkit for Creating 3D Faces of an Embodied Conversational Agent , 2005, Smart Graphics.

[9]  Stan Sclaroff,et al.  Automatic detection of relevant head gestures in American Sign Language communication , 2002, Object recognition supported by user interaction for service robots.

[10]  Koray Balci.  Xface: MPEG-4 based open source toolkit for 3D Facial Animation , 2004, AVI.

[11]  Y. V. Venkatesh,et al.  Understanding gestures with systematic variations in movement dynamics , 2006, Pattern Recognit..

[12]  Antonio Torralba,et al.  An efficient neuromorphic analog network for motion estimation , 1999 .

[13]  Lale Akarun,et al.  Recognizing Two Handed Gestures with Generative, Discriminative and Ensemble Methods Via Fisher Kernels , 2006, MRCS.

[14]  Surendra Ranganath,et al.  Representations for facial expressions , 2002, 7th International Conference on Control, Automation, Robotics and Vision, 2002. ICARCV 2002..

[15]  Scott K. Liddell.  Grammar, Gesture, and Meaning in American Sign Language , 2003 .

[16]  Igor S. Pandzic,et al.  MPEG-4 Facial Animation , 2002 .

[17]  Wen Gao,et al.  Large-Vocabulary Continuous Sign Language Recognition Based on Transition-Movement Models , 2007, IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans.

[18]  Francis K. H. Quek,et al.  Toward a vision-based hand gesture interface , 1994 .

[19]  Algirdas Pakstas,et al.  MPEG-4 Facial Animation: The Standard,Implementation and Applications , 2002 .

[20]  Alex Pentland,et al.  Real-time American Sign Language recognition from video using hidden Markov models , 1995 .

[21]  Ying Wu,et al.  Hand modeling, analysis and recognition , 2001, IEEE Signal Process. Mag..