DeepSnake: Sequence Learning of Joint Torques Using a Gated Recurrent Neural Network

DeepSnake: Sequence Learning of Joint Torques Using a Gated Recurrent Neural Network

Handheld virtual reality (VR) controllers are necessary for creating immersive experiences. In this paper, we propose a gated RNN-based sequence model that estimates the joint torques of a serially linked handheld VR system interface from a sequential position input. In our previous study, we propos...

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Bibliographic Details
Main Authors: Byung-Kil Han, Seung-Chan Kim, Dong-Soo Kwon
Format: Article
Language:English
Published: IEEE 2018-01-01
Series:IEEE Access
Subjects:
Recurrent neural networks
handheld interface
sequence learning
deformable spline
Online Access:https://ieeexplore.ieee.org/document/8550631/

Internet

https://ieeexplore.ieee.org/document/8550631/

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