Using Gaussian Mixture Models for Gesture Recognition During Haptically Guided Telemanipulation

Using Gaussian Mixture Models for Gesture Recognition During Haptically Guided Telemanipulation

Haptic guidance is a promising method for assisting an operator in solving robotic remote operation tasks. It can be implemented through different methods, such as virtual fixtures, where a predefined trajectory is used to generate guidance forces, or interactive guidance, where sensor measurements...

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Bibliographic Details
Main Authors: Carlos J. Pérez-del-Pulgar, Jan Smisek, Irene Rivas-Blanco, Andre Schiele, Victor F. Muñoz
Format: Article
Language:English
Published: MDPI AG 2019-07-01
Series:Electronics
Subjects:
robotics
telemanipulation
haptics
machine learning
gesture recognition
Online Access:https://www.mdpi.com/2079-9292/8/7/772

Internet

https://www.mdpi.com/2079-9292/8/7/772

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