i 'm just finish labs meeting with my advisor, previous code is written in matlab and it run offline mode not realtime mode, so i decide to convert to python+numpy (in offline version) but after labs meeting, my advisor raise issue about speed of realtime recognition, so i have doubt about speed of python+numpy to do this project. or better in c? my project is about using electronic glove (2x sensors) to get realtime data and do data processing, recognition process
NumPy is very fast if you follow some basic rules. You should avoid Python loops, using the operators provided by NumPy instead whenever you can. This and this should be a good starting points.
After reading through that, why don't you write some simple code in both Matlab and NumPy and compare the performance? If it performs well in NumPy, it should be enough to convince your advisor, especially if the code is representative of the actual algorithms you are using in your project.
Note: you should also see that your algorithm really is suited for realtime recognition.