Name
Title | ||
|---|---|---|
Patterns Identification For Hitting Adjacent Key Errors Correction Using Neural Network Models |
Abstract | ||
|---|---|---|
People with Parkinson diseases or motor disability miss-stroke keys. It appears that keyboard layout, key distance, time gap are affecting this group of people's typing performance. This paper studies these features based on neural network learning algorithms to identify the typing patterns, further to correct the typing mistakes. A specific user typing performance, i.e. Hitting Adjacent Key Errors, is simulated to pilot this research. In this paper, a Time Gap and a Prediction using Time Gap model based on BackPropagation Neural Network, and a Distance, Angle and Time Gap model based on the use of Probabilistic Neural Network are developed respectively for this particular behaviour. Results demonstrate a high performance of the designed model, about 70% of all tests score above Basic Correction Rate, and simulation also shows a very unstable trend of user's 'Hitting Adjacent Key Errors' behaviour with this specific datasets. |
Year | Venue | Keywords |
|---|---|---|
2011 | ICEIS 2011: PROCEEDINGS OF THE 13TH INTERNATIONAL CONFERENCE ON ENTERPRISE INFORMATION SYSTEMS, VOL 2 | QWERTY Keyboard, Probabilistic Neural Network, Backpropagation, Key Distance, Time Gap, Error Margin Distance |
Field | DocType | Citations |
Computer science,Artificial intelligence,Artificial neural network | Conference | 0 |
PageRank | References | Authors |
0.34 | 0 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jun Li | 1 | 5 | 2.37 |
| Karim Ouazzane | 2 | 15 | 7.71 |
| Muhammad Afzal Bhatti | 3 | 320 | 41.15 |
| Hassan B. Kazemian | 4 | 47 | 12.25 |