Interactive Gesture Recognition of Service Robot Based on RNN Recurrent Neural Network
In the process of service robot interaction,it is difficult to determine the important joint points of the robot,which leads to the difficulty of increasing the interactive gesture recognition.Therefore,an interactive gesture recognition method of service ro-bot based on RNN recurrent neural network is designed.Kinectis used to capture the depth image of the interaction gestures of the service robot,determine the important joint points in the interaction process,and extract the features of the interaction gestures.Based on the results of gesture feature extraction,a gesture template is defined,and the RNN recurrent neural network is used to learn and process the gesture template.The service robot interactive gesture recognition model is built,and the relevant interactive gesture recognition results are obtained.The experimental results show that the proposed method can quickly obtain high-preci-sion interactive gesture recognition results of service robots,and the practical application effect is good.
NETL
NSTL
万方数据
维普
