Electrostatic force touch rendering method based on physiological and physical modeling
A tactile rendering and electrostatic force technology, applied in biological neural network model, neural learning method, input/output process of data processing, etc. Not ideal, etc., to achieve the effect of wide rendering range, strong versatility and scalability, and no operational constraints
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[0041] Include the following steps:
[0042] (1) Determine the first velocity v when the finger crosses the real material surface 1 , the first normal force F N1 and the first tangential force F f1 ;
[0043] (2), determine the second velocity v when the finger crosses the surface of the electrostatic force tactile reproduction device 2 and the second normal force F N2 ;
[0044] (3), according to the first speed v 1 , the first normal force F N1 and the first tangential force F f1 , using artificial intelligence algorithm for model training to determine the physiological-physical mapping relationship f(t);
[0045] (4), according to the second speed v 2 , the second normal force F N2 And the physiological and physical mapping relationship f(t), determine the driving tangential force F f ;
[0046] (5), according to the driving tangential force F f Determine the transient voltage V(t) of the excitation signal applied when the electrostatic force haptic reproductio...
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