For this, a neural network architecture consisting of two different kinds of recurrent neural network (RNN) cells is proposed.  The combination of accelerometer data and an RNN forms a robust hand gesture classification system, i.e., the performance of the network does not vary a lot between subjects and it is outstanding for amputees. 
RNN
For this, a neural network architecture consisting of two different kinds of recurrent neural network (RNN) cells is proposed.  The combination of accelerometer data and an RNN forms a robust hand gesture classification system, i.e., the performance of the network does not vary a lot between subjects and it is outstanding for amputees. 
RNN
For this, a neural network architecture consisting of two different kinds of recurrent neural network (RNN) cells is proposed.  The combination of accelerometer data and an RNN forms a robust hand gesture classification system, i.e., the performance of the network does not vary a lot between subjects and it is outstanding for amputees. 
RNN