1. Immersive environment
Finally, we used Supervised Neural Networks as a classification technique for the recognition of both static and dynamic signs. We show that with Neural Networks, static signs can be recognized with an average error of 20.18%. ... Neural Networks have been used for the analysis of haptic data in many research efforts in the past. Our contributions to the analysis of haptic data using Neural Networks include the use of Back-Propagation Neural Networks for static sign recognition and the use of Time-Delay Neural Networks for dynamic sign recognition. ...
- Word Count: 863
- Approx Pages: 3
- Grade Level: High School