Optimal Parameter Exploration for Online Change-Point Detection in Activity Monitoring Using Genetic Algorithms

Optimal Parameter Exploration for Online Change-Point Detection in Activity Monitoring Using Genetic Algorithms

In recent years, smart phones with inbuilt sensors have become popular devices to facilitate activity recognition. The sensors capture a large amount of data, containing meaningful events, in a short period of time. The change points in this data are used to specify transitions to distinct events an...

Full description

Bibliographic Details
Main Authors: Naveed Khan, Sally McClean, Shuai Zhang, Chris Nugent
Format: Article
Language:English
Published: MDPI AG 2016-10-01
Series:Sensors
Subjects:
multivariate change detection
activity monitoring
multivariate exponentially weighted moving average
accelerometer
genetic algorithm
change-point detection
Online Access:http://www.mdpi.com/1424-8220/16/11/1784

Internet

http://www.mdpi.com/1424-8220/16/11/1784

Similar Items