3results about How to "Accurate authentication" patented technology

The invention relates to the technical field of intelligent decision making, can be applied to business scenes of financial science and technology, medical treatment and health and the like, and discloses an intelligent shunting method, device, equipment and medium based on multi-modal information processing. And completing living body identity verification based on a three-dimensional structure and dynamic actions, identifying acoustic emotions and semantic emotions, fusing the acoustic emotions and the semantic emotions with interactive behaviors to generate a comprehensive emotional state, generating an access decision in combination with task complexity, executing an automatic service or a seat service, and providing a corresponding service response. According to the method, multi-modal information is formed by fusing vision, voice and interaction behaviors, user emotion and task complexity are obtained on the premise that living body safety verification is guaranteed, accurate access decision making is achieved, and therefore the intelligent level of service distribution and user experience are improved while identity verification safety and efficiency are improved.

The embodiment of the application discloses a kind of amusement facilities control method, device, equipment and medium based on voiceprint identification, method includes if receiving from the visitor voiceprint information collected by voiceprint analyzer, judge whether visitor voiceprint information satisfies preset operator voiceprint identification condition;Send voiceprint collection instruction to voiceprint receiver to obtain the voiceprint information collected by voiceprint receiver;Operator level analysis is carried out to voiceprint information to obtain voiceprint analysis information;Judge whether voiceprint analysis information satisfies the personnel identification analysis condition in the preset identity analysis rule;Judge whether visitor voiceprint information satisfies the command type identification analysis condition in identity analysis rule;According to the corresponding authority personnel scheduling instruction of amusement facilities distributed control strategy information is generated and sent to equipment coordination control component.The method embodiment solves the problem of poor safety of the existing amusement facility control system multilevel distributed facility control.

The invention provides a physical layer user classification authentication method based on deep learning, which combines a decision tree and a random forest algorithm to classify and identify channel characteristics under different environmental factors, and realizes preliminary authentication through classification confidence. The method comprises the following steps: collecting feature data of each user feature type of each fixed position user with labels as a data set, wherein the user feature types comprise channel distribution type features and channel features; the label is used for distinguishing whether the user is legal or the identity of each individual legal user; according to the method, large-scale and small-scale channel indexes, such as path loss, shadow effect and time delay extension, are utilized to carry out rapid primary selection on a multi-user scene of a long-term fixed position, and on this basis, an amplitude phase analysis method is adopted to complete final authentication. Simulation and actual measurement results show that the method can realize a high user identification rate in a simulation environment, and has the characteristics of high efficiency, robustness and light weight.