An AI-driven motion gesture correction system and method

CN121122572BActive Publication Date: 2026-06-09YANAN UNIV
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
YANAN UNIV
Filing Date
2025-09-03
Publication Date
2026-06-09

AI Technical Summary

Technical Problem

Existing posture correction technologies have a single perception dimension, cannot capture deep physiological characteristics, have poor individual adaptability, have a lagging feedback mechanism, and lack real-time intervention capabilities.

Method used

By employing a multimodal perception layer combined with an AI decision-making layer and a multidimensional feedback layer, and through distributed vision units, wearable biosensing units, and environmental adaptation units, multimodal data fusion and personalized feedback are achieved, including cross-modal spatiotemporal calibration, dynamic noise reduction, feature fusion, transfer enhancement network adaptation, biomechanical analysis, and multidimensional feedback.

Benefits of technology

It achieves dual correction of movement posture and force exertion, quickly adapts to individual differences, provides immediate intervention and progressive guidance, and improves the scientific nature and efficiency of movement posture correction.

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Abstract

The application discloses an AI driving-based motion posture correction system and method, belongs to the technical field of artificial intelligence and motion health, and relates to the technical field of motion posture correction. The motion posture correction system comprises a multi-modal perception layer, an intelligent preprocessing layer, an AI decision layer, a multi-dimensional feedback layer and a user platform. The multi-modal perception layer fuses vision, biological sensing and environmental data. The intelligent preprocessing layer improves data quality through cross-modal calibration and enhancement technology. The AI decision layer realizes personalized judgment in combination with transfer learning and biomechanical analysis. The multi-dimensional feedback layer provides hierarchical intervention and risk early warning. The user platform supports data management and model evolution. The application adopts the AI driving-based motion posture correction system and method, realizes scientific and efficient motion posture correction through multi-modal perception, personalized decision and accurate feedback.
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