Active dialogue proximity service platform based on user state recognition

By using a biometric feature extraction and fusion module and a proximity demand prediction module, high-dimensional state feature data is generated, which solves the problem of insufficient user state awareness in existing technologies and realizes a proactive conversational proximity service platform that provides seamless real-time services across platforms.

CN122452772APending Publication Date: 2026-07-24郑寿根 +1
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Patent Information

Application Number
CN202610638015.3
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2026-05-11
Publication Date
2026-07-24

AI Technical Summary

Technical Problem

Existing technologies cannot deeply understand a user's real-time overall status, cannot proactively initiate humanized dialogues, and cannot achieve cross-platform, seamless, and instant proximity services. Service recommendations lack accuracy and privacy protection mechanisms are inflexible.

Method used

The biometric feature extraction and fusion module extracts user facial features and environmental information in real time to generate high-dimensional state feature data. Combined with the proximity demand prediction module and the contextual dialogue generation module, it realizes a proactive conversational proximity service platform.

Benefits of technology

It achieves accurate perception of users' real-time emotions, fatigue levels, and other comprehensive states, protects privacy, connects the entire chain from demand insight to service appointment, and provides seamless cross-platform services.

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Abstract

The invention relates to the field of intelligent dialogues, and particularly discloses an active dialogue proximity service platform based on user state recognition, which fuses facial biological characteristics and environmental information of a user in real time through artificial intelligence of a device end to generate high-dimensional characteristic data capable of accurately reflecting comprehensive states such as current emotion and fatigue of the user, and sends the high-dimensional characteristic data to the user. And meanwhile, the user privacy is guaranteed by destroying the original image in time. Based on the state data, the platform does not passively wait for an instruction, but actively initiates a humanized situational dialogue through a demand prediction model to stimulate the potential instant demand of the user. When a user expresses a positive intention, the system can seamlessly migrate and adapt the intention among different devices and directly convert the intention into a cross-platform service execution instruction, so that a complete link from demand insight to service reservation and even navigation is broken through, and the problems of disjunction of recommendation and execution and fragmentation of service experience in the prior art are solved.
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