2 Previous work

What Background Material Would be Useful to Know, and Has Someone Done This Already?

• 2.1 Introduction
• 2.2 The field of study
• 2.3 Physiology of the hand
• 2.4 What is Auslan?
  • 2.4.1 Variations on Auslan
    • Finger-spelling
    • Signed English
    • Pidgin Signed English
    • Cued Speech
  • 2.4.2 Structure of signs in Auslan
    • Handshape
    • Location
    • Orientation
    • Movement
    • Expression
• 2.5 The Device vs Vision debate
  • Device-based measurement techniques:
  • Vision-based Approaches:
• 2.6 ``Whole Hand Input'' Devices
• 2.7 Learning tools
  • 2.7.1 Neural networks
  • 2.7.2 Symbolic learning algorithms
  • 2.7.3 Instance-based Learning
  • 2.7.4 Grammar-based techniques
  • 2.7.5 Hidden Markov Models
• 2.8 Previous work in sign language recognition
  • 2.8.1 Image-based approaches to sign language
    • Charayaphan and Marble's research in to Image Processing for ASL
    • Davis and Shah's work on Gesture Recognition using cameras
    • Starner's work with American Sign Language and Hidden Markov Models
    • Dorner and Hagen's work with a complete system
  • 2.8.2 Device-based approaches to sign language
    • Glove-Talk and Glove-TalkII -- Fels and Hinton's contribution
    • Pausch and Davidson's CANDY system
    • Wexelblat's work on the AHIGS system
    • Takahashi and Kishino's investigation
    • Recognition using recurrent neural nets
    • Kramer's Talking Glove Project
    • A Linguistic Approach to Recognising Gestures
    • Peter Vamplew's work with SLARTI
  • 2.8.3 Summary of previous research