EnTrans: Leveraging kinetic energy harvesting signal for transportation mode detection

EnTrans: Leveraging kinetic energy harvesting signal for transportation mode detection

Monitoring the daily transportation modes of an individual provides useful information in many application domains, such as urban design, real-time journey recommendation, as well as providing location-based services. In existing systems, accelerometer and GPS are the dominantly used signal sources...

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Bibliographic Details
Main Authors: LAN, Guohao, XU, Weitao, MA, Dong, KHALIFA, Sara, HASSAN, Mahbub, HU, Wen
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2019
Subjects:
Transportation mode detection
energy harvesting
wearable devices
sparse representation
Artificial Intelligence and Robotics
Transportation
Online Access:https://ink.library.smu.edu.sg/sis_research/7002
https://ink.library.smu.edu.sg/context/sis_research/article/8005/viewcontent/1807.02268.pdf
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Institution: Singapore Management University
Language: English

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https://ink.library.smu.edu.sg/sis_research/7002
https://ink.library.smu.edu.sg/context/sis_research/article/8005/viewcontent/1807.02268.pdf

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