What is the difference between Classic Motion Control Algorithm and HyperIntuition?Updated 3 hours ago
| Dimension | Existing Algorithm / Rule-based | End-to-End Algorithm / HyperIntuition (End-to-end) / Data-driven |
|---|---|---|
| Basic logic | Recognizes and classifies movement based on preset motion modes, then provides assistance according to the detected scenario | Does not rely on fixed preset modes. It continuously interprets body movement data and adjusts assistance output directly |
| User operation | In specific scenarios such as gravel, mountain, cycling, or running, users can usually get a better assistance experience by selecting the matching mode | Once HyperIntuition is enabled, the device adjusts assistance based on movement, posture, and rhythm changes |
| Terrain transition | Recognition and switching between modes may take time. Terrain or rhythm changes may create a sense of delay or discontinuity | Responds more promptly to terrain transitions, stop-start movement, and pace changes, creating a more continuous experience |
| Adaptability to irregular movement | Relies more on preset information, so adaptability can be limited in unstructured or non-rhythmic movement | Better suited to unstructured and non-rhythmic movement |
| User experience | Feels more like “select a scenario, then receive corresponding assistance” | Feels more like “the device naturally follows the user’s movement” |
| Best suited for | Stable, clear, and predictable movement scenarios | Stop-start movement, slope changes, gravel, mountain, pace changes, and real-world outdoor scenarios |
HyperIntuition is a motion control algorithm that can understand your intentions. Driven by end-to-end AI, it provides precise, seamless, and natural assistance.
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