Prediction of Head Movement in 360-Degree Videos Using Attention Model

Prediction of Head Movement in 360-Degree Videos Using Attention Model

In this paper, we propose a prediction algorithm, the combination of Long Short-Term Memory (LSTM) and attention model, based on machine learning models to predict the vision coordinates when watching 360-degree videos in a Virtual Reality (VR) or Augmented Reality (AR) system. Predicting the vision...

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Bibliographic Details
Main Authors: Dongwon Lee, Minji Choi, Joohyun Lee
Format: Article
Language:English
Published: MDPI AG 2021-05-01
Series:Sensors
Subjects:
LSTM
GRU
head movement
time-series prediction
machine learning
attention model
Online Access:https://www.mdpi.com/1424-8220/21/11/3678

Internet

https://www.mdpi.com/1424-8220/21/11/3678

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