Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  aims at designing a scanning keyboard that serves people with paralysis. This keyboard works on detection and tracking of the user eyeball movements. The main objective of this research work is to implement a simple and less expensive technique that produces the best possible results with a higher level of accuracy. The design of the system is done in phases; these are eye detection and tracking, follod by classification. The tracking phase incorporates skin color segmentation, black pupil detection and support vector machines.  also explored the role of eye red-channel, eye width and height for eye tracking. A scanning keyboard is developed and tested to work with three eyeball movements with 90% double detection accuracy. The performance of the algorithm is experimentally analyzed and the benefits of the proposed approach are highlighted. Also, the simulation results are presented.
['Zeenat Al-Kassim', 'Qurban A. Memon']
I am writing a research paper on a idea Designing a low-cost eyeball tracking keyboard for paralyzed people ☆
[{"from": "human", "value": "I am writing a research paper on a idea Designing a low-cost eyeball tracking keyboard for paralyzed people \u2606"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  aims at designing a scanning keyboard that serves people with paralysis. This keyboard works on detection and tracking of the user eyeball movements. The main objective of this research work is to implement a simple and less expensive technique that produces the best possible results with a higher level of accuracy. The design of the system is done in phases; these are eye detection and tracking, follod by classification. The tracking phase incorporates skin color segmentation, black pupil detection and support vector machines.  also explored the role of eye red-channel, eye width and height for eye tracking. A scanning keyboard is developed and tested to work with three eyeball movements with 90% double detection accuracy. The performance of the algorithm is experimentally analyzed and the benefits of the proposed approach are highlighted. Also, the simulation results are presented."}]