implemtation procedure.docx
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Human computer interface using hand gesture recognition using neural network I want to do my project on hand gesture recognition using neural network in math lab platform but following changes has to be implemented considering the base paper. 1. First the image i.e. Hand gesture has to be taken from camera and remove the background so that only hand gesture can be considered for further processing. 2. The obtained boundary of the image is processed using image processing technique and finally gesture is identified. 3. Finally the device should perform action specified for gesture in neural network. 4. In the base paper they considered around 120 gestures in the AAN N/W; here we need to consider more than 120 different gestures. 5. While selecting the image at the first stage two types of real time hand gestures need to be considered: A). hand gestures with RGB colour band i.e. Here algorithm should work by considering RGB colour bands and perform action according to specific colour band. B). hand gesture without RGB colour bands: normal hand gesture should be considered i.e. bare hands and processing should be done to those images. Note: kindly note that all the images are of real time images. 6. As per base paper they have got 95% of accuracy, we need to get more than 95% and close to 99%. 7. While processing the images ie for feature extraction, segmentation, and neural network recent and advance algorithm must be used. 8. The whole project can also be easily done by using sensors; here we need to prove that our approach is better than using sensors. 9. Application: 1. Media player
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Human computer interface using hand gesture recognition using neural network
I want to do my project on hand gesture recognition using neural network in math lab platform but following changes has to be implemented considering the base paper.
1. First the image i.e. Hand gesture has to be taken from camera and remove the background so that only hand gesture can be considered for further processing.
2. The obtained boundary of the image is processed using image processing technique and finally gesture is identified.
3. Finally the device should perform action specified for gesture in neural network.4. In the base paper they considered around 120 gestures in the AAN N/W; here we
need to consider more than 120 different gestures.5. While selecting the image at the first stage two types of real time hand gestures need
to be considered:A). hand gestures with RGB colour band i.e. Here algorithm should work by considering RGB colour bands and perform action according to specific colour band.B). hand gesture without RGB colour bands: normal hand gesture should be considered i.e. bare hands and processing should be done to those images.Note: kindly note that all the images are of real time images.
6. As per base paper they have got 95% of accuracy, we need to get more than 95% and close to 99%.
7. While processing the images ie for feature extraction, segmentation, and neural network recent and advance algorithm must be used.
8. The whole project can also be easily done by using sensors; here we need to prove that our approach is better than using sensors.
9. Application:1. Media player2. PPT presentation 3. Real time painting.
10. There can be some changes in future with the points mentioned above.11. Please try to give me the half code by 27-2-2016.
With Regards,NITIN PALMUR
DEC BRANCHDAYANADA SAGAR COLLEGE OF ENGG.
