Abstract | ||
---|---|---|
In this paper, we propose a new input interface for interaction with in-vehicle systems (traffic information, car phones etc). The new device is a touchpad of small dimensions designed to record any control-gesture drawn with the finger by the user. An analysis is carried out of the tasks to be achieved by the driver and a method called "brainstorming茂s used to generate a set of possible gestures. A neural network approach is applied for the recognition of gestures. The method is tested on a database of 5252 uppercase letters written by 101 different writers. The average error rate is less than 6,5%. The method is also of great interest in terms of speed and memory space. |
Year | DOI | Venue |
---|---|---|
1999 | 10.1007/3-540-46616-9_15 | Gesture Workshop |
Keywords | Field | DocType |
neural network approach,in-vehicle system,great interest,different writer,in-vehicle systems,car phones etc,new input interface,average error rate,new device,memory space,possible gesture,error rate,neural network | Gesture,Computer science,Word error rate,Speech recognition,Touchpad,Artificial neural network | Conference |
Volume | ISSN | ISBN |
1739 | 0302-9743 | 3-540-66935-3 |
Citations | PageRank | References |
1 | 0.44 | 1 |
Authors | ||
3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Jean-François Kamp | 1 | 38 | 6.54 |
Frank Poirier | 2 | 5 | 2.62 |
Philippe Doignon | 3 | 1 | 0.78 |