Trigger determination and interaction method for active interaction

By binding the hardware control system and local offline processing throughout the process, the problems of frequent user interference, insufficient identity layer control and confusion of interaction modes in the existing technology are solved, and a low-interference, high-compliance and stable interaction process of smart devices is achieved.

CN122633016APending Publication Date: 2026-08-25陈立波
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Patent Information

Application Number
CN202610473177.6
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2026-04-10
Publication Date
2026-08-25

AI Technical Summary

Technical Problem

Existing active interaction technologies suffer from problems such as frequent user interference, lack of identity-based hierarchical control, lack of dual anti-interference mechanisms, confusion of interaction modes, and lack of interaction atomicity protection, resulting in poor user experience and failing to meet the low-interference and high-compliance usage requirements of smart devices.

Method used

The system employs a fully integrated hardware control system, combining local offline processing and low-precision non-sensitive feature recognition. Through hardware-triggered judgment, dual anti-interference control, hierarchical identity interaction, and active-passive decoupling, it ensures the compliance and stability of the interaction.

Benefits of technology

It achieves precise hardware-based triggering, reduces user interference, meets privacy compliance requirements, provides a highly stable interaction process, and is compatible with multiple types of smart terminals.

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Abstract

The application discloses a kind of active interaction trigger determination and interaction method, belong to man-machine interaction technical field.Method includes: after sensor detects human target, hardware system verifies global cooling period;Cooling period terminates process, and executes local offline identity recognition if not cooled;Identification succeeds and user has no personal prohibition period trigger active interaction, otherwise standby.Active interaction does not call historical data, passive interaction responds to registered user personalization, and unregistered user has no data storage.The application realizes accurate trigger by hardware dual-cycle control, privacy compliance, low interference, and is suitable for various intelligent man-machine interaction devices.
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Description

Technical Field

[0001] This invention relates to the field of human-computer interaction technology, specifically to a hardware-controlled active interaction trigger determination and interaction method, used for interaction trigger control and active / passive interaction rule execution after human target detection by intelligent devices. Background Technology

[0002] In existing active interaction technologies, devices directly initiate interaction after detecting a human body through sensors, without a standardized trigger determination mechanism, resulting in the following technical defects: 1. Frequently interfering with users: Repeatedly triggering interactions in a short period of time violates normal social logic; 2. Lack of identity-based hierarchical management: Unable to distinguish between registered and unregistered users, resulting in poor adaptability; 3. Lack of dual anti-interference mechanism: Lacking both global and individual control, it is prone to continuous interference with multiple users; 4. Confusing interaction patterns: The boundaries between active and passive interactions are blurred, and the system behavior is inconsistent; 5. Lack of interactive atomicity protection: The interaction process is easily interrupted, resulting in a poor user experience.

[0003] The existing solution does not incorporate hardware control to build compliant interaction logic, and cannot meet the low-interference and high-compliance usage requirements of smart devices. Summary of the Invention

[0004] (a) Technical problems to be solved This invention aims to solve the technical problems of unreasonable triggering logic, strong interference, confusing patterns, and insufficient compliance in existing technologies, and achieves: hardware-based triggering judgment, dual anti-interference control, hierarchical identity interaction, active and passive decoupling, and atomicity protection, which meets the technical requirements of data compliance and human-computer interaction.

[0005] (II) Technical Solution The core solution is consistent with the claims, and is fully integrated with the hardware control system, local offline processing, low-precision non-sensitive feature recognition, and has no cloud data transmission, thus meeting privacy compliance requirements.

[0006] (III) Beneficial Effects (New Regulations Strongly Bind Features: One-to-One Correspondence Between Features and Effects) 1. Hardware-based precise triggering: Using a global cooldown period as a pre-emptive hardware control measure, combined with identity recognition and personal prohibition period verification, invalid interactions are eliminated and user interference is reduced; 2. Dual compliance and anti-interference: Global + personal dual-cycle hardware collaborative management, taking into account both overall and refined management, and complying with the 2026 interactive device technical standards; 3. Privacy Compliance Identification: Local offline low-precision non-sensitive feature identification, no privacy data collection, meeting the ethical compliance requirements of patent law; 4. Full decoupling of active and passive operations: Data retrieval and storage rules are independent, processes do not interfere with each other, and the operation is highly stable; 5. Atomicity hardware protection: Cache wake-up requests do not interrupt the current process, ensuring the integrity of the interaction; 6. Low power consumption and high adaptability: Pre-filtering reduces computing power, with full coverage of software and hardware implementation, and adaptability to all types of smart terminals. Detailed Implementation

[0007] Example 1: Hardware Interaction Control of Home Service Robots The robot is equipped with millimeter-wave radar, cameras, a hardware state machine, and local storage units, and processes data offline without cloud data transmission.

[0008] After the radar intermittently detects a human target, the hardware state machine checks the global cooldown period; if it has not cooled down, it performs a preliminary matching against the user database in the prohibited period. If the matching fails, it performs local low-precision gait recognition; if it is identified as a registered user with no personal prohibited period, it triggers active interaction and simultaneously starts dual-cycle control.

[0009] User responses are determined to be passive interactions, and historical data is independently retrieved to generate personalized responses; during the prohibition period, only passive interactions are supported to prevent repeated disturbances.

[0010] Example 2: Compliance-based Interaction Management for Unregistered Users When an unregistered user is detected, local identification and comparison fail, and no active interaction is triggered; after passive wake-up, only a basic response is generated, and no user data is collected or stored, which complies with privacy compliance requirements.

Claims

1. A method for triggering and determining active interaction, characterized in that, Includes the following steps: In response to the sensor detecting a human target, the hardware control system first determines whether it is within a preset global cooling period; If the process is within the preset global cooldown period, the process will terminate and the active interaction process will not be initiated. If the target is not within the preset global cooldown period, local offline identity recognition is performed on the human target. If the identity verification is successful and the user is not within the preset personal prohibition period, the active interaction process will be triggered. If identity verification fails, or if the user is within a preset personal prohibition period, the system will not trigger active interaction and will remain in standby mode.

2. The method according to claim 1, characterized in that, The proactive interaction process is triggered only once for the same user within a preset personal prohibition period; after the preset personal prohibition period expires, the proactive interaction process can be triggered when the user is detected again and the triggering conditions are met.

3. The method according to claim 1, characterized in that, Once the system determines that an active interaction process has been triggered, the hardware control system immediately initiates a preset global cooldown period. During this cooldown period, the system will not initiate an active interaction process for any user.

4. The method according to claim 3, characterized in that, User responses to proactive interaction commands are considered passive interactions, regardless of whether they occur within or after the preset global cooldown period. Once a passive interaction is initiated, the system immediately starts a passive interaction cooldown period. Passive interactions and their cooldown periods operate independently and are not constrained by the global cooldown period.

5. The method according to claim 1, characterized in that, Successful identity verification determines the user to be a registered user; failure to verify determines the user to be an unregistered user. Upon active interaction, the system immediately initiates the pre-set personal prohibition period for the registered user and records their identity information into the local prohibition period user database.

6. The method according to claim 5, characterized in that, When active interaction is executed, historical interaction data is not retrieved; interactive content is generated only based on real-time visual data stream and preset interaction templates. After the interaction is completed, the user identification information is stored in a local encrypted storage unit.

7. The method according to claim 4, characterized in that, When passive interaction is executed, registered users retrieve their historical interaction data to generate personalized responses; unregistered users do not retrieve historical data, only generate basic interaction content, and their interaction data is not stored.

8. The method according to claim 1, characterized in that, The local offline identity recognition is as follows: extract low-precision non-sensitive biometric features of the human target and compare them with the feature database of registered users in the local area; if the comparison matches, the user is a registered user, and if the comparison does not match, the user is an unregistered user and no active interaction is triggered; the low-precision non-sensitive biometric features are selected from at least one of gait, posture, micro-Doppler, contour, and voiceprint features.

9. The method according to claim 5, characterized in that, Before identity recognition, a pre-filter is performed: low-precision features of the human target are extracted and matched with the local prohibited user database; if a match is successful, no active interaction is triggered and the subsequent recognition process is terminated.

10. The method according to claim 1, characterized in that: During active / passive interaction execution, passive wake-up requests are cached and queued without interrupting the current process, and are responded to in order after the process ends. During the preset personal prohibition period and global cooldown period, passive interactions can be triggered and executed normally; The method is implemented through a pure hardware state machine, pure software code, firmware, or a combination of hardware and software.