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2014 | OriginalPaper | Chapter

In-hand Manipulation Action Gist Extraction from a Data-Glove

Authors : Gang Cheng, Norman Hendrich, Jianwei Zhang

Published in: Foundations and Practical Applications of Cognitive Systems and Information Processing

Publisher: Springer Berlin Heidelberg

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Abstract

The process of different human manipulating a specific object in hand obeys very similar operating steps. The hand movement can be modeled and generalized into action gist to guide other human or robots to execute the specific in-hand manipulation task. This paper suggests a kind of action gist similar to the way humans learn to represent the five finger hand motions in in-hand manipulation. Our method is based on Gaussian Markov Random Field that processes data-glove values to obtain the action gist. Several experiments are carried out to discuss the performance of the proposed methods.

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Metadata
Title
In-hand Manipulation Action Gist Extraction from a Data-Glove
Authors
Gang Cheng
Norman Hendrich
Jianwei Zhang
Copyright Year
2014
Publisher
Springer Berlin Heidelberg
DOI
https://doi.org/10.1007/978-3-642-37835-5_67

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