Technology Background

SynchroMind™ Collaborative AI Algorithm

Fusing multi-sensor data, precisely identifying user movement intent and predicting actions in real-time, achieving "movement at will"

Three-Layer Architecture

1

Perception Layer

Real-time collection of gait data including foot pressure, joint angle, and movement speed through force, posture, and acceleration sensors

2

Fusion Layer

Multi-source data fusion analysis to restore center of mass trajectory, identify terrain environment, and predict user intent before movement occurs

3

Control Layer

Drives actuators based on intent recognition results to achieve precise and instant assistance response

SynchroMind Algorithm Diagram

Core Technology Advantages

1

Real-time Intent Prediction

Predicts user intent before movement occurs, achieving "think and move" intuitive control

2

Adapts to Various Terrains

Automatically identifies and adapts to different environments including flat ground, slopes, and stairs

3

Low Latency

Millisecond-level response for smooth and natural walking experience

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