Hi TI,
I am testing the gesture recognition project with AWRL6432BOOST EVM in toolbox 2.00.00.06.
I found the recognition rate is very low (lower than 10%).
I try to replace the parameter "meanFeat" and "stdFeat" for classifier from 2m to lp in SDK 5.04.00.01 and send the specific chrip ofcurse but the rate still not very good.
Is there any other parameter I can adjust to make the recognition rate higher?
How to generate the values for parapeter "meanFeat" and "stdFeat"?
Is it possible to provide more information for function "classifier_predict"?