Skip to main navigation
Skip to search
Skip to main content
University of Portsmouth Home
Help & FAQ
Link opens in a new tab
Search content at University of Portsmouth
Home
Profiles
Organisations
Research outputs
Student theses
Datasets
Projects
Activities
Prizes
Press/Media
Equipment
Haptics model for human fingertips based on Gaussian distribution
Kairu Li
, Yinfeng Fang
, Yu Zhou
,
Zhaojie Ju
,
Honghai Liu
School of Computing
Shanghai Jiao Tong University
Research output
:
Contribution to journal
›
Article
›
peer-review
338
Downloads (Pure)
Overview
Fingerprint
Fingerprint
Dive into the research topics of 'Haptics model for human fingertips based on Gaussian distribution'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
INIS
humans
100%
gauss function
100%
depth
60%
prediction
40%
nonlinear problems
40%
skin
40%
hands
40%
applications
20%
validation
20%
shape
20%
range
20%
bridges
20%
prostheses
20%
testing
20%
probability
20%
probabilistic estimation
20%
data analysis
20%
probes
20%
pressing
20%
cones
20%
mimic
20%
dispersions
20%
cosmetics
20%
statistical data
20%
experiment results
20%
Engineering
Haptics
100%
Gaussians
100%
Contact Force
75%
Indentation
75%
Human Skin
50%
Soft Material
25%
Distribution Model
25%
Related Mechanism
25%
Nonlinear Regression Model
25%
Biomechanics
25%
Statistical Data
25%
Nonlinearity
25%
Prosthesis
25%
Viscoelasticity
25%