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Hits 1 – 20 of 32

1	Development of an American sign language game for deaf children
	Valerie Henderson; Seungyon Lee; Helene Brashear...
	In: http://www.cc.gatech.edu/ccg/publications/idc05_henderson.pdf (2005)
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2	Development of an American sign language game for deaf children
	Valerie Henderson; Seungyon Lee; Helene Brashear...
	In: http://www-static.cc.gatech.edu/~thad/p/030_30_AC/idc05_final.pdf (2005)
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3	User-centered development of a gesture-based American Sign Language game. Paper presented at the Instructional Technology and Education of the Deaf Symposium
	Seungyon Lee; Valerie Henderson; Helene Brashear...
	In: http://www-static.cc.gatech.edu/~thad/p/030_30_AC/NTID05_0526_final.pdf (2005)
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4	Development of an American sign language game for deaf children
	Valerie Henderson; Seungyon Lee; Helene Brashear...
	In: http://www.cc.gatech.edu/~brashear/pubs/IDC05.pdf (2005)
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5	User-centered development of a gesture-based American Sign Language game. Paper presented at the Instructional Technology and Education of the Deaf Symposium
	Seungyon Lee; Valerie Henderson; Helene Brashear...
	In: http://www.rit.edu/ntid/vp/techsym/papers/2005/M2D.pdf (2005)
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6	Development of an American Sign Language game for deaf children
	Valerie Henderson; Seungyon Lee; Helene Brashear...
	In: http://www-static.cc.gatech.edu/gvu/ccg/projects/copycat/p/idc05_final.pdf (2005)
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7	User-centered development of a gesture-based American Sign Language game. Paper presented at the Instructional Technology and Education of the Deaf Symposium
	Seungyon Lee; Valerie Henderson; Helene Brashear...
	In: http://www-static.cc.gatech.edu/gvu/ccg/projects/copycat/p/NTID05_0526_final.pdf (2005)
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8	Towards a One-Way American Sign Language Translator
	R. Martin Mcguire; Jose Hern; Thad Starner...
	In: http://wearables.cc.gatech.edu/publications/faceandgesture04_mcguire.pdf (2004)
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9	Towards a One-Way American Sign Language Translator
	R. Martin Mcguire; Jose Hern; Thad Starner...
	In: http://www.cc.gatech.edu/~brashear/pubs/GESTURE2004.pdf (2004)
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10	Using Multiple Sensors for Mobile Sign Language Recognition
	Helene Brashear; Thad Starner
	In: http://wearables.cc.gatech.edu/publications/iswc2003-sign/iswc2003-sign.pdf (2003)
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11	Georgia Tech Gesture Toolkit: Supporting experiments in gesture recognition
	Tracy Westeyn; Helene Brashear; Amin Atrash...
	In: http://www.cc.gatech.edu/~brashear/pubs/ICMI2003.pdf (2003)
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12	Using Multiple Sensors for Mobile Sign Language Recognition
	Helene Brashear; Thad Starner
	In: http://www1.cs.columbia.edu/graphics/courses/mobwear/resources/brashear-iswc03.pdf (2003)
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13	Using Multiple Sensors for Mobile Sign Language Recognition
	Helene Brashear; Thad Starner; Paul Lukowicz...
	In: http://www.cc.gatech.edu/ccg/././publications/iswc2003-sign/iswc2003-sign.ps (2003)
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14	Georgia Tech Gesture Toolkit: Supporting Experiments in Gesture Recognition
	Tracy Westeyn; Helene Brashear; Amin Atrash...
	In: http://www.cc.gatech.edu/ccg/publications/westeyn_ICMI2003.pdf (2003)
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15	Real-Time American Sign Language Recognition Using Desk and Wearable Computer Based Video
	Thad Starner; Joshua Weaver; Alex Pentland
	In: http://www.cc.gatech.edu/~thad/p/journal/real-time-asl-recognition.pdf (1998)
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16	Real-Time American Sign Language Recognition Using Desk and Wearable Computer Based Video
	Thad Starner; Joshua Weaver; Alex Pentland
	In: ftp://whitechapel.media.mit.edu/pub/tech-reports/TR-466.ps.Z (1998)
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17	Real-Time American Sign Language Recognition from Video Using Hidden Markov Models
	Thad Starner; Alex Pentland
	In: http://www-static.cc.gatech.edu/~thad/p/031_10_SL/real-time-asl-recognition-from%20video-using-hmm-disab96.pdf (1998)
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18	Real-time american sign language recognition using desk and wearable computer based video
	Thad Starner; Joshua Weaver; Alex Pentland
	In: http://luthuli.cs.uiuc.edu/~daf/courses/Signals AI/Papers/HMMs/00735811.pdf (1998)
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19	A Wearable Computer Based American Sign Language Recognizer
	Thad Starner; Joshua Weaver; Alex Pentland
	In: ftp://whitechapel.media.mit.edu/pub/tech-reports/TR-425.ps.Z (1997)
	Abstract: Modern wearable computer designs package workstation level performance in systems small enough to be worn as clothing. These machines enable technology to be brought where it is needed the most for the handicapped: everyday mobile environments. This paper describes a research effort to make a wearable computer that can recognize (with the possible goal of translating) sentence level American Sign Language (ASL) using only a baseball cap mounted camera for input. Current accuracy exceeds 97% per word on a 40 word lexicon. 1 Introduction While there are many different types of gestures, the most structured sets belong to the sign languages. In sign language, where each gesture already has assigned meaning, strong rules of context and grammar may be applied to make recognition tractable. To date, most work on sign language recognition has employed expensive "datagloves" which tether the user to a stationary machine [26] or computer vision systems limited to a calibrated area [23]. In add.
	URL: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.53.9654
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20	A Wearable Computer Based American Sign Language Recognizer
	Thad Starner; Joshua Weaver; Alex Pentland
	In: http://c2000.cc.gatech.edu/classes/cs8113c_99_spring/readings/starner.pdf (1997)
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