A gesture recognition-based method for framing a target range

By adopting a hierarchical architecture based on gesture recognition, the problems of complex operation and inaccurate target definition in traditional robot following systems are solved, achieving accuracy and adaptability in robot following, and improving the naturalness of human-computer interaction and system stability.

CN122176786APending Publication Date: 2026-06-09钱钟浩 +1
View PDF 0 Cites 0 Cited by

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
钱钟浩
Filing Date
2026-01-28
Publication Date
2026-06-09

AI Technical Summary

Technical Problem

Traditional robot following systems are complex to operate, have unintuitive target designation, imprecise range definition, poor system adaptability, difficulty in selecting multiple targets, and insufficient real-time performance and synchronization.

Method used

It adopts a layered architecture based on gesture recognition, including a data perception layer, a data processing layer, a behavior control layer, a user interaction layer, and a behavior execution layer. It obtains the bounding range through gesture recognition, and combines multi-feature point recognition, perspective correction, and anomaly point filtering to achieve accurate bounding and intelligent selection of the target range.

Benefits of technology

It lowers the operational threshold, improves the naturalness and convenience of human-computer interaction, enhances the accuracy and stability of the defined range, and improves the system's adaptability and fault tolerance. It can autonomously optimize or be intervened by the user in complex environments, enabling precise robot following and control.

✦ Generated by Eureka AI based on patent content.

Smart Images

  • Figure CN122176786A_ABST
    Figure CN122176786A_ABST
Patent Text Reader

Abstract

This invention relates to the field of target range definition technology, and in particular to a method for target range definition based on gesture recognition. The technical solution includes: target definition and command issuance can be completed through gestures, improving the naturalness and convenience of human-computer interaction; through multi-feature point recognition, perspective correction, anomaly point screening, and edge smoothing, the accuracy and stability of the defined range are improved, enhancing the accuracy and robustness of target definition; the system has automatic and manual adjustment modes, and can autonomously optimize or prompt user intervention in different environments, improving the overall reliability of the system and enhancing its adaptability and fault tolerance; the system can not only define the range, but also analyze multiple targets within the range and automatically select the optimal target to follow based on a preset strategy; through a layered architecture design, gesture recognition, data processing, and motion control are organically combined to ensure that the robot can accurately understand the user's intentions and execute stable and continuous following actions.
Need to check novelty before this filing date? Find Prior Art