Deeply feature learning by CMAC network for manipulating rehabilitation robots

Human action recognition is a key component in modern artificial intelligent systems that greatly enhance the manipulating of various robots, such as rehabilitation robtos and industrial robots. Existing action recognition algorithms mainly depend on a predefined spatial sequence code book, which may fail to discover discriminative spatial–temporal features to mimic robots. In this paper, we propose to engineer the spatial–temporal action...