Multi-touch gesture recognition of Braille input based on Petri Net and RBF Net

The development of information accessibility is receiving more and more attention. One challenging task for the blind is to input Braille while by no way could they sense the location information on touch screens. The existing Braille input methods are suffering from problems including inaccurate positioning and lack of interactive prompts. In this paper, touch gestures are recognized by trained RBF network while combined gestures are modeled by Petri net that introduces logic, timing and spatial relationship description. By doing so, the Braille input concerning multi-touch gesture recognition is then implemented. The experimental results show that the method is effective and blind people can friendly Braille Input with almost real-time interaction. The input method makes full use of the inherent logic of Braille, making the blind easy to learn and remember, providing a new method for human-computer interaction between the blind and the touch screen.