Activity Recognition Using Fusion of Low-Cost Sensors on a Smartphone for Mobile Navigation Application

Activity Recognition Using Fusion of Low-Cost Sensors on a Smartphone for Mobile Navigation Application

Low-cost inertial and motion sensors embedded on smartphones have provided a new platform for dynamic activity pattern inference. In this research, a comparison has been conducted on different sensor data, feature spaces and feature selection methods to increase the efficiency and reduce the computa...

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Bibliographic Details
Main Authors: Sara Saeedi, Naser El-Sheimy
Format: Article
Language:English
Published: MDPI AG 2015-08-01
Series:Micromachines
Subjects:
MEMS sensor
motion recognition
mobile computing
smart phones
gyroscope
accelerometers
pattern classification
Online Access:http://www.mdpi.com/2072-666X/6/8/1100

Internet

http://www.mdpi.com/2072-666X/6/8/1100

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