The Proximity Capacitive Gesture Recognition for Recursive Chebyshev Neural Network

摘要

This paper presented the proximity capacitive sensor using recursive Chebyshev neural network (RCNN) to detect user gesture. 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. The features of RCNN have Chebyshev polynomials to train and map different capacitance input value. Moreover, the recursive weight record previous signal to add learn procession. Therefore, the RCNN methods to identify user gesture has satisfactory response.