Intelligent glasses, interaction method and device of intelligent glasses, electronic equipment and medium

By integrating perception modules, decision-making modules, execution modules and feedback modules in smart glasses, the perception and autonomous decision-making of multi-dimensional environmental data is achieved, and the problem of intelligent wearable devices being one-sided and passive in the environment is solved, improving the level of intelligence and user experience.

CN120508207APending Publication Date: 2025-08-19BEIJING INSTITUTE OF GRAPHIC COMMUNICATION
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Patent Information

Application Number
CN202510575651.1
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-05-06
Publication Date
2025-08-19

AI Technical Summary

Technical Problem

Smart wearable devices have a relatively one-sided understanding of the environment, passive interaction, and insufficient intelligence level, which cannot provide convenience to users and affect normal use.

Method used

The combination of perception module, decision module, execution module and feedback module is adopted to realize independent decision-making and active interaction through the perception, prediction of behavioral intentions and generation of multi-dimensional environmental data and user behavior data.

Benefits of technology

It realizes the active perception and independent learning of the environment by smart wearable devices, can adapt to environmental changes like humans, provide a highly personalized intelligent interactive experience, and improve the level of intelligence.

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Abstract

The invention relates to intelligent glasses, an interaction method and device of the intelligent glasses, electronic equipment and a medium. The sensing module, the decision making module, the execution module and the feedback module are arranged on the glasses body so as to sense multi-dimensional environment data of a surrounding environment and current behavior data of a user in a preset intelligent interaction mode, predict a behavior intention of the user, track a first behavior change of the user and a first environment change of the surrounding environment and send the first behavior change to the feedback module; and determining an instruction chain meeting a preset execution condition, executing the instruction chain to track a second behavior change of the user based on the instruction chain, and optimizing a generation algorithm of the instruction chain based on the second behavior change. Therefore, the technical problems that in the related technology, the intelligent wearable device understands the environment in a one-sided mode, interaction is passive, the intelligent wearable device can only operate according to a set rule, the intelligent level is insufficient, convenience cannot be provided for a user, and normal use of the user is easily affected are solved.
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