TY - GEN
T1 - A partial contact frictional force model for finger-surface interactions
AU - Janko, Marco
AU - Zhao, Zhengqiao
AU - Kam, Moshe
AU - Visell, Yon
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2018/5/9
Y1 - 2018/5/9
N2 - Touching an object with our fingers yields frictional forces that allow us to perceive and explore its texture, shape, and other features. While the relevance of these frictional forces to sensory and motor function in the hand is well established, the way that they reflect the shape and texture of touched objects is not well understood. This lack of knowledge currently constraints the development of haptic rendering algorithms that rely on reproducing frictional forces to mimic the sensation of touching real surfaces. To address this, we created a low order contact mechanics inspired model that accounted for: disconnection between the finger and high relief features of the surfaces, and differences of pressure applied in the contact regions. The output of our model was compared to experimental frictional force measurements of bare-fingers sliding on structured surfaces. The results show high similarity between the measurements and the model output. The model presented can be used to predict frictional forces if the geometry of a touched surface is known together with the coefficient of friction of the untextured surface.
AB - Touching an object with our fingers yields frictional forces that allow us to perceive and explore its texture, shape, and other features. While the relevance of these frictional forces to sensory and motor function in the hand is well established, the way that they reflect the shape and texture of touched objects is not well understood. This lack of knowledge currently constraints the development of haptic rendering algorithms that rely on reproducing frictional forces to mimic the sensation of touching real surfaces. To address this, we created a low order contact mechanics inspired model that accounted for: disconnection between the finger and high relief features of the surfaces, and differences of pressure applied in the contact regions. The output of our model was compared to experimental frictional force measurements of bare-fingers sliding on structured surfaces. The results show high similarity between the measurements and the model output. The model presented can be used to predict frictional forces if the geometry of a touched surface is known together with the coefficient of friction of the untextured surface.
UR - http://www.scopus.com/inward/record.url?scp=85047950666&partnerID=8YFLogxK
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U2 - 10.1109/HAPTICS.2018.8357185
DO - 10.1109/HAPTICS.2018.8357185
M3 - Conference contribution
AN - SCOPUS:85047950666
T3 - IEEE Haptics Symposium, HAPTICS
SP - 255
EP - 261
BT - IEEE Haptics Symposium, HAPTICS 2018 - Proceedings
A2 - Visell, Yon
A2 - Kuchenbecker, Katherine J.
A2 - Gerling, Gregory J.
PB - IEEE Computer Society
T2 - 2018 IEEE Haptics Symposium, HAPTICS 2018
Y2 - 25 March 2018 through 28 March 2018
ER -