GloveGRASP Features

• 5th Glove Silicon Graphics device drivers
• Glove to SGI serial port cable adaptors
• User dependent gesture training
• One or two handed gesture recognition
• Real-time feature-based continuous and discrete gesture recognition
• Context dependent recognition and dynamic switching of training sets
• Inter-process communication through UNIX TCP/IP sockets
• OpenGL and OpenInventor articulated hand models
• Complete Documentation

• Sample applications with full C++ source code
  • Gesture-based modeling program
  • Gesture navigation within virtual environment
  • Client/server code for distributed gesture recognition

GloveGRASP is a C++ class library that provides a powerful and easy way to add accurate gesture recognition to Silicon Graphics applications such as virtual reality, gestural input, motion capture, and character animation. Unlike other gesture recognition systems, GloveGRASP uses context-dependent feature-based recognition. This means that the same gesture may be interpreted differently for various interaction contexts - so a small gesture set can provide a large range of commands across all the possible interaction contexts. Contexts and the symbols representing each gesture are completely user definable. Context-dependent recognition reduces the need to remember dozens of different gestures and produces a very high recognition rate.

GloveGRASP uses advanced pattern matching techniques to ensure highly accurate gesture recognition. Users can set the pattern matching parameters to tune the recognition for their particular gesture set. Recognition rates above 95% can be achieved with multiple gesture sets, each containing as many as a dozen separate gestures.

Current Pricing


Motion Capture Solutions


User's Manual