DocumentCode :
3135083
Title :
Activity detection in conversational sign language video for mobile telecommunication
Author :
Cherniavsky, Neva ; Ladner, Richard E. ; Riskin, Eve A.
Author_Institution :
Dept. of Comput. Sci. & Eng., Univ. of Washington, Seattle, WA
fYear :
2008
fDate :
17-19 Sept. 2008
Firstpage :
1
Lastpage :
6
Abstract :
The goal of the MobileASL project is to increase accessibility by making the mobile telecommunications network available to the signing Deaf community. Video cell phones enable Deaf users to communicate in their native language, American Sign Language (ASL). However, encoding and transmission of real-time video over cell phones is a power-intensive task that can quickly drain the battery.
Keywords :
cellular radio; gesture recognition; mobile communication; video communication; American sign language; MobileASL project; conversational sign language video; mobile telecommunications network; real-time video; signing deaf community; video cell phones; Batteries; Cellular phones; Clothing; Deafness; Encoding; Handicapped aids; Mobile computing; Mobile handsets; Telephony; Video compression;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Automatic Face & Gesture Recognition, 2008. FG '08. 8th IEEE International Conference on
Conference_Location :
Amsterdam
Print_ISBN :
978-1-4244-2153-4
Electronic_ISBN :
978-1-4244-2154-1
Type :
conf
DOI :
10.1109/AFGR.2008.4813363
Filename :
4813363
Link To Document :
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