Proximity capacitive gesture recognition for a RBP neural network

This paper presented a recursive back propagation neural network (RBPNN) user gesture base on proximity capacitive sensor. The human interactive gesture signal analyses have been a research topic smart home fields that algorithms build in local device to recognize real time. The neural network have been used in many fields that including identification, control and classification. Neural network features is used neurons weight train and learn target results, and recursive weight record previous signal to add learn procession. Moreover, we used energy function to prove RBPNN convergence. Therefore, the energy function with RBPNN methods to identify user gesture has satisfactory response.