Finger Pad Topography beyond Fingerprints: Understanding the Heterogeneity Effect of Finger Topography for Human–Machine Interface Modeling
Author:
Affiliation:
1. Department of Mechanical Engineering, Texas A&M University, College Station, Texas 77843, United States
Funder
Texas A and M University
State of Texas
Publisher
American Chemical Society (ACS)
Subject
General Materials Science
Link
https://pubs.acs.org/doi/pdf/10.1021/acsami.0c15827
Reference44 articles.
1. Screen-Printed Washable Electronic Textiles as Self-Powered Touch/Gesture Tribo-Sensors for Intelligent Human–Machine Interaction
2. Transparent and Stretchable Interactive Human Machine Interface Based on Patterned Graphene Heterostructures
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4. Humans integrate visual and haptic information in a statistically optimal fashion
5. Partial squeeze film levitation modulates fingertip friction
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