Fig. 3.
Modeling workflow of predicting roughness perception produced by tactile stimuli. First, a multilayered finger mechanics model simulates the strain and change of strain at the mechanoreceptor locations. Next, their spatial variations are calculated by convolving them with Gabor filters. Finally, the areas under the curve are used as a measure of the average mechanoreceptor activation leading to roughness perception. The plots shown here are for an exemplary case for Device 2 with different phase differences.

Modeling workflow of predicting roughness perception produced by tactile stimuli. First, a multilayered finger mechanics model simulates the strain and change of strain at the mechanoreceptor locations. Next, their spatial variations are calculated by convolving them with Gabor filters. Finally, the areas under the curve are used as a measure of the average mechanoreceptor activation leading to roughness perception. The plots shown here are for an exemplary case for Device 2 with different phase differences.

Close
This Feature Is Available To Subscribers Only

Sign In or Create an Account

Close

This PDF is available to Subscribers Only

View Article Abstract & Purchase Options

For full access to this pdf, sign in to an existing account, or purchase an annual subscription.

Close