A Hybrid Markov and LSTM Model for Indoor Location Prediction

A Hybrid Markov and LSTM Model for Indoor Location Prediction

Accurate and robust indoor location prediction plays an important role in indoor location services. Markov chains (MCs) have been widely adopted for location prediction due to their strong interpretability. However, multi-order Markov chains (k -MCs) are not suitable for predicting long sequences du...

Full description

Bibliographic Details
Main Authors: Peixiao Wang, Hongen Wang, Hengcai Zhang, Feng Lu, Sheng Wu
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Indoor location prediction
movement trajectory
Markov-LSTM
Online Access:https://ieeexplore.ieee.org/document/8938733/

Internet

https://ieeexplore.ieee.org/document/8938733/

Similar Items