Stimuli-Magnitude-Adaptive Sample Selection for Data-Driven Haptic Modeling

Stimuli-Magnitude-Adaptive Sample Selection for Data-Driven Haptic Modeling

Data-driven haptic modeling is an emerging technique where contact dynamics are simulated and interpolated based on a generic input-output matching model identified by data sensed from interaction with target physical objects. In data-driven modeling, selecting representative samples from a large se...

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Bibliographic Details
Main Authors: Arsen Abdulali, Waseem Hassan, Seokhee Jeon
Format: Article
Language:English
Published: MDPI AG 2016-06-01
Series:Entropy
Subjects:
sample selection
regression
data-driven modeling
haptic feedback
Online Access:http://www.mdpi.com/1099-4300/18/6/222

Internet

http://www.mdpi.com/1099-4300/18/6/222

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