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CN-121980340-A - Interactive processing method and device based on robot, computer equipment and medium

CN121980340ACN 121980340 ACN121980340 ACN 121980340ACN-121980340-A

Abstract

The application belongs to the technical field of artificial intelligence, and relates to an interaction processing method based on a robot, which comprises the steps of acquiring brain wave signal data of a user acquired in advance; preprocessing brain wave signal data to obtain corresponding target brain wave signal data, extracting characteristics of the target brain wave signal data based on a preset multi-characteristic extraction strategy to obtain corresponding brain wave characteristics, classifying the brain wave characteristics based on a preset state classification and identification model to obtain corresponding brain wave state classification results, determining an interaction strategy corresponding to the brain wave state classification results based on a preset strategy library, and controlling the robot to execute corresponding interaction processing on a user based on the interaction strategy. The application also provides an interaction processing device based on the robot, computer equipment and a storage medium. The application can be applied to the interactive processing business scene in the financial science and technology field and the digital medical field, and improves the accuracy and the effectiveness of the robot interaction strategy.

Inventors

  • SUN AOLAN

Assignees

  • 平安科技（深圳）有限公司

Dates

Publication Date
20260505
Application Date
20260107

Claims (10)

  1. 1. The interactive processing method based on the robot is characterized by comprising the following steps of: Acquiring pre-acquired brain wave signal data of a user; preprocessing the brain wave signal data to obtain corresponding target brain wave signal data; performing feature extraction on the target brain wave signal data based on a preset multi-feature extraction strategy to obtain corresponding brain wave features; classifying the brain wave features based on a preset state classification recognition model to obtain corresponding brain wave state classification results; determining an interaction strategy corresponding to the brain wave state classification result based on a preset strategy library; and controlling the robot to execute corresponding interaction processing on the user based on the interaction strategy.
  2. 2. The robot-based interaction processing method according to claim 1, wherein the step of preprocessing the brain wave signal data to obtain corresponding target brain wave signal data specifically comprises: filtering the brain wave signal data based on a preset adaptive filtering algorithm to obtain a corresponding first brain wave signal; Performing signal amplification processing on the first brain wave signal based on a preset amplifier to obtain a corresponding second brain wave signal; Performing signal segmentation processing on the second brain wave signals to obtain corresponding third brain wave signals; And taking the third brain wave signal as the target brain wave signal data.
  3. 3. The robot-based interaction processing method according to claim 1, wherein the step of extracting features of the target brain wave signal data based on a preset multi-feature extraction strategy to obtain corresponding brain wave features specifically comprises: extracting frequency characteristics of the target brain wave signal data to obtain corresponding frequency characteristics; extracting amplitude characteristics of the target brain wave signal data to obtain corresponding amplitude characteristics; extracting the rhythm characteristics of the target brain wave signal data to obtain corresponding rhythm characteristics; integrating the frequency characteristic, the amplitude characteristic and the rhythm characteristic to obtain corresponding integrated characteristics; And taking the integrated characteristic as the brain wave characteristic.
  4. 4. The robot-based interaction processing method according to claim 1, further comprising, before the step of classifying the brain wave features based on the preset state classification recognition model to obtain a corresponding brain wave state classification result: acquiring a multi-modal brain wave dataset acquired in advance; performing data enhancement processing on the multi-mode brain wave data set to obtain corresponding brain wave sample data; dividing the brain wave sample data into a training set, a verification set and a test set; training and verifying a preset mixed model by using the training set and the verification set based on a preset training strategy to obtain a corresponding first mixed model; Evaluating and optimizing the first mixed model based on the test set to obtain a second mixed model meeting preset construction requirements; And taking the second mixed model as the state classification recognition model.
  5. 5. The method for robot-based interaction processing according to claim 4, wherein the step of performing data enhancement processing on the multi-modal brain wave dataset to obtain corresponding brain wave sample data specifically comprises: performing time domain enhancement processing on the multi-mode brain wave data set to obtain corresponding first brain wave data; performing frequency domain enhancement processing on the multi-mode brain wave dataset to obtain corresponding second brain wave data; integrating the multi-modal brain wave data set, the first brain wave data and the second brain wave data to obtain corresponding appointed brain wave data; verifying the specified brain wave data based on a preset verification strategy; and if the specified brain wave data passes the verification, taking the specified brain wave data as the brain wave sample data.
  6. 6. The robot-based interaction processing method according to claim 1, wherein the step of determining an interaction policy corresponding to the brain wave state classification result based on a preset policy bank specifically comprises: calling a preset strategy library; taking the brain wave state classification result as a target key of strategy query; Performing policy query processing on the policy library based on the target key to obtain a matched first interaction policy; Performing strategy optimization processing on the first interaction strategy to obtain a corresponding second interaction strategy; and taking the second interaction strategy as the interaction strategy.
  7. 7. The method for processing interaction based on the robot as claimed in claim 6, wherein the step of performing policy optimization processing on the first interaction policy to obtain a corresponding second interaction policy specifically includes: Judging whether the number of the first interaction strategies is a plurality of; if yes, screening the first interaction strategy based on the historical strategy response data of the user so as to screen a first appointed interaction strategy with highest response rate from the first interaction strategy; Performing parameter adjustment on the first appointed interaction strategy based on the historical behavior data of the user to obtain a corresponding second appointed interaction strategy; adjusting the second specified interaction strategy based on the current environment data to obtain a corresponding third specified interaction strategy; and taking the third appointed interaction strategy as the second interaction strategy.
  8. 8. An interactive processing device based on a robot, comprising: the first acquisition module is used for acquiring brain wave signal data of a user acquired in advance; the preprocessing module is used for preprocessing the brain wave signal data to obtain corresponding target brain wave signal data; The extraction module is used for carrying out feature extraction on the target brain wave signal data based on a preset multi-feature extraction strategy to obtain corresponding brain wave features; the classification module is used for classifying the brain wave characteristics based on a preset state classification recognition model to obtain corresponding brain wave state classification results; The first determining module is used for determining an interaction strategy corresponding to the brain wave state classification result based on a preset strategy library; And the interaction module is used for controlling the robot to execute corresponding interaction processing on the user based on the interaction strategy.
  9. 9. A computer device comprising a memory and a processor, the memory having stored therein computer readable instructions which when executed by the processor implement the steps of the robot-based interaction handling method of any of claims 1 to 7.
  10. 10. A computer readable storage medium, characterized in that the computer readable storage medium has stored thereon computer readable instructions, which when executed by a processor, implement the steps of the robot-based interaction handling method of any of claims 1 to 7.

Description

Interactive processing method and device based on robot, computer equipment and medium Technical Field The application relates to the technical field of artificial intelligence, which can be applied to the fields of financial science and technology, digital medical treatment and the like, in particular to an interactive processing method, an interactive processing device, computer equipment and a storage medium based on a robot. Background In the prior art based on human brain wave analysis auxiliary robot generation interaction strategy, the anti-interference capability of brain wave signal acquisition and analysis is obviously insufficient. In the practical application environment, the brain wave signal acquisition process is extremely easy to be influenced by external factors such as electromagnetic interference, environmental noise and the like, and the existing system generally lacks an effective signal pretreatment mechanism, so that the quality of the acquired brain wave signal is seriously reduced. The low-quality signal directly causes the deviation of the analysis result, so that the brain wave state identification precision is difficult to meet the actual requirement. The current analysis system mostly adopts a basic signal processing algorithm, only can realize rough distinction of brain wave basic states, and cannot capture fine feature changes, so that the accuracy and the effectiveness of the generation of a robot interaction strategy are greatly reduced. For example, in a health risk scenario in the financial insurance field, if the electroencephalogram analysis technology misjudges the emotional state of the user by interference, the insurance product recommendation logic may be triggered by mistake, so that a high-risk client is recommended with a low-guarantee scheme to increase the risk of subsequent claims and disputes, and in a home care scenario in the medical field, the electroencephalogram signal distortion caused by interference may cause the robot to misjudge the health state of the elderly, delay emergency call or perform nursing action by mistake, and endanger the safety of the user. Therefore, there is a need for an electroencephalogram signal processing and interaction strategy generation method with strong anti-interference capability, so as to improve the generation quality of the robot interaction strategy and promote the substantial breakthrough of the man-machine interaction technology. Disclosure of Invention The embodiment of the application aims to provide an interaction processing method, device, computer equipment and storage medium based on a robot, so as to solve the technical problem of low accuracy in the generation of the existing robot interaction strategy. In a first aspect, a robot-based interaction processing method is provided, including: Acquiring pre-acquired brain wave signal data of a user; preprocessing the brain wave signal data to obtain corresponding target brain wave signal data; performing feature extraction on the target brain wave signal data based on a preset multi-feature extraction strategy to obtain corresponding brain wave features; classifying the brain wave features based on a preset state classification recognition model to obtain corresponding brain wave state classification results; determining an interaction strategy corresponding to the brain wave state classification result based on a preset strategy library; and controlling the robot to execute corresponding interaction processing on the user based on the interaction strategy. In a second aspect, there is provided a robot-based interaction processing apparatus, including: the first acquisition module is used for acquiring brain wave signal data of a user acquired in advance; the preprocessing module is used for preprocessing the brain wave signal data to obtain corresponding target brain wave signal data; The extraction module is used for carrying out feature extraction on the target brain wave signal data based on a preset multi-feature extraction strategy to obtain corresponding brain wave features; the classification module is used for classifying the brain wave characteristics based on a preset state classification recognition model to obtain corresponding brain wave state classification results; The first determining module is used for determining an interaction strategy corresponding to the brain wave state classification result based on a preset strategy library; And the interaction module is used for controlling the robot to execute corresponding interaction processing on the user based on the interaction strategy. In a third aspect, a computer device is provided, comprising a memory, a processor and a computer program stored in the memory and executable on the processor, the processor implementing the steps of the robot-based interaction handling method described above when the computer program is executed by the processor. In a fourth aspect, a computer readable storage m