Future Works may include following points:
• Researchers of the Carleton University, Canada believe that the same interface could form the basis of a mind-controlled password system.
• Controlling computers through neural signals but that obviously will be difficult to judge because the field of research is still in its infancy.
• Direct neural communication between humans and computers. May be the future computers will one day come along with biological signal sensors and thought-recognition inbuilt software just as keyboard and mouse.
There are many challenges in the future of the BCI field. These applications could be improved. Accuracy, speed, usability and feedback methods should be improved in the current BCI systems. Accuracy is …show more content…
The mean accuracy of BEEG using general method is 81.766%. The mean accuracy of BEEG using confusion matrix is thus 86.160%
There occurred difficulty in adaptation and learning during BEEG development. To ensure repeatability and reliability of the system it is tested on more than many subjects over time during tremendous training sessions and the final product is presented only after ensuring 100% reliability factor.
Five healthy male subjects (subjects SP, MV, TC, SS2 and SS1) and five healthy female subjects (subjects GS, NV, KS, PR and RH) in their young to old age were the test subjects. Out of ten subjects, six subjects were familiar with the BCI system. They had used the system some times before these tests, but no actual training was performed with them. The system BEEG was new to subject NV, KS, RH and MV. The analytical graphs of all these subjects are shown in Fig 6.1 to …show more content…
After the relaxing period, the operator directed the subject which sample or mental task to perform first. The operator then changed the mental tasks so that each mental task lasted between 15-30 seconds. The order and length of the mental tasks were random. Five to seven recordings were done in one day. There was about 5-10 minutes break between each recording.
The system developed BEEG has covered a long journey during its testing phase especially. Quite large number of samples was selected initially, taking considerations on basic system navigation utilities. These samples were tested and trained over a large number of subjects. Due to extreme frequent change in brain rhythms on different humans, therefore to avoid overlapping of sample’s range and to make the system feasible to be tested, these samples were reduced to four. Then finally meticulous training is done on ten subjects as discussed in previous
• Researchers of the Carleton University, Canada believe that the same interface could form the basis of a mind-controlled password system.
• Controlling computers through neural signals but that obviously will be difficult to judge because the field of research is still in its infancy.
• Direct neural communication between humans and computers. May be the future computers will one day come along with biological signal sensors and thought-recognition inbuilt software just as keyboard and mouse.
There are many challenges in the future of the BCI field. These applications could be improved. Accuracy, speed, usability and feedback methods should be improved in the current BCI systems. Accuracy is …show more content…
The mean accuracy of BEEG using general method is 81.766%. The mean accuracy of BEEG using confusion matrix is thus 86.160%
There occurred difficulty in adaptation and learning during BEEG development. To ensure repeatability and reliability of the system it is tested on more than many subjects over time during tremendous training sessions and the final product is presented only after ensuring 100% reliability factor.
Five healthy male subjects (subjects SP, MV, TC, SS2 and SS1) and five healthy female subjects (subjects GS, NV, KS, PR and RH) in their young to old age were the test subjects. Out of ten subjects, six subjects were familiar with the BCI system. They had used the system some times before these tests, but no actual training was performed with them. The system BEEG was new to subject NV, KS, RH and MV. The analytical graphs of all these subjects are shown in Fig 6.1 to …show more content…
After the relaxing period, the operator directed the subject which sample or mental task to perform first. The operator then changed the mental tasks so that each mental task lasted between 15-30 seconds. The order and length of the mental tasks were random. Five to seven recordings were done in one day. There was about 5-10 minutes break between each recording.
The system developed BEEG has covered a long journey during its testing phase especially. Quite large number of samples was selected initially, taking considerations on basic system navigation utilities. These samples were tested and trained over a large number of subjects. Due to extreme frequent change in brain rhythms on different humans, therefore to avoid overlapping of sample’s range and to make the system feasible to be tested, these samples were reduced to four. Then finally meticulous training is done on ten subjects as discussed in previous