• Refine your search:
  • 
    Keyword
  • 
    Creator / Publisher:
    
    • Alex Pentland (6)
    • Joshua Weaver (6)
    • Thad Starner (6)
    • The Pennsylvania State University CiteSeerX Archives (6)
  • 
    Year
  • 
    Medium
  • 
    Type
  • 
    BLLDB-Access

Search in the Catalogues and Directories

All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 6 of 6 1 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) BASE Show details 2 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) BASE Show details 3 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) BASE Show details 4 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 BASE Hide details 5 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) BASE Show details 6 A Wearable Computer Based American Sign Language Recognizer Thad Starner; Joshua Weaver; Alex Pentland In: http://www1.cs.columbia.edu/graphics/courses/mobwear/resources/starner-iswc97.pdf (1997) BASE Show details

Mobile view All Catalogues UB Frankfurt Linguistik 0 IDS Mannheim 0 OLC Linguistik 0 UB Frankfurt Retrokatalog 0 DNB Subject Category Language 0 Institut für Empirische Sprachwissenschaft 0 Leibniz-Centre General Linguistics (ZAS) 0 Bibliographies BLLDB 0 BDSL 0 IDS Bibliografie zur deutschen Grammatik 0 IDS Bibliografie zur Gesprächsforschung 0 IDS Konnektoren im Deutschen 0 IDS Präpositionen im Deutschen 0 IDS OBELEX meta 0 MPI-SHH Linguistics Collection 0 MPI for Psycholinguistics 0 Linked Open Data catalogues Annohub 0 Online resources Link directory 0 Journal directory 0 Database directory 0 Dictionary directory 0 Open access documents BASE 6 Linguistik-Repository 0 IDS Publikationsserver 0 Online dissertations 0 Language Description Heritage 0