Original paper
Deeply feature learning by CMAC network for manipulating rehabilitation robots
Abstract
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...
Paper Details
Title
Deeply feature learning by CMAC network for manipulating rehabilitation robots
Published Date
Aug 1, 2021
Volume
121
Pages
19 - 24
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