Energy Harvesting-Based Smart Transportation Mode Detection System via Attention-Based LSTM

Energy Harvesting-Based Smart Transportation Mode Detection System via Attention-Based LSTM

Detecting the transportation mode of an individual's everyday travel provides useful information in urban design, real-time journey planning, and activity monitoring. In existing systems, the accelerometer and GPS are predominant signal sources which quickly drain the limited battery life of th...

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Bibliographic Details
Main Authors: Weitao Xu, Xingyu Feng, Jia Wang, Chengwen Luo, Jianqiang Li, Zhong Ming
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Transportation detection
energy harvesting
accelerometer
deep learning
Online Access:https://ieeexplore.ieee.org/document/8721072/

Internet

https://ieeexplore.ieee.org/document/8721072/

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