Personnel identity recognition network construction method based on tactile perception
A technology of identity recognition and network construction, which is applied in the field of human-computer interaction based on service robots, can solve problems such as inability to speak loudly, weak light intensity of robots, and inability of robots to judge personnel identities, and achieve small-scale effects
Active Publication Date: 2021-11-05
TIANJIN UNIV
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[0009] Based on the above description, there is an urgent need for a new type of personnel identification method to solve the problem that the existing robot is weak in light intensity and unable to speak loudly, and when the personnel need to interact with the robot, the robot cannot identify it based on the information of the existing modalities. The problem of making judgments about the identity of persons
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[0056] The present invention will be further described below in conjunction with specific embodiments, wherein, the accompanying drawings are only for exemplary illustrations, and what is shown is only a schematic diagram, rather than a physical map, and cannot be understood as a limitation to this patent. In order to better illustrate the present invention Specific embodiments, some parts in the drawings will be omitted, enlarged or reduced, and do not represent the size of the actual product. For those skilled in the art, it is understandable that some known structures and their descriptions in the drawings may be omitted. Based on The specific implementation modes in the present invention and all other specific implementation modes obtained by persons of ordinary skill in the art without making creative efforts all belong to the protection scope of the present invention.
[0057] This solution provides a method for constructing a human identity recognition network based on t...
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The invention relates to the technical field of interaction between service robots and people, in particular to a personnel identity recognition network construction method based on tactile perception. The personnel identity recognition network comprises a convolution module and a recognition module; the convolution module is adopted to perform feature extraction on the tactile data, and the recognition module is adopted to perform personnel identity classification. Specifically, an empirical sampling method is used for data collection, so that data collection is closer to real tactile expression in daily life, and a robot can recognize the identity of a person through tactile information under the situation that visual information and auditory information cannot be effectively collected.
Description
technical field [0001] The invention relates to the technical field of human-computer interaction based on service robots, in particular to a method for constructing a personnel identification network based on tactile perception. Background technique [0002] In order to achieve efficient and realistic human-computer interaction, robots need to recognize and understand interactive information from humans, including speech, facial expressions, body movements, and touch actions. Based on information from these modalities, robots can judge human intentions and emotions. In human-computer interaction, the recognition of human identity information by robots is also very important. When the robot recognizes the identity information of the service object, it can provide more targeted services based on the identity information of the person, improving service quality and humanization. [0003] With the development of pattern recognition technology and artificial intelligence, face...
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IPC IPC(8): G06K9/62G06K9/00G06N3/04G06N3/08
CPCG06N3/08G06N3/047G06N3/045G06F18/214G06F18/2415
Inventor 孟庆浩李云开
Owner TIANJIN UNIV