Self-Adaptive Multi-Sensor Activity Recognition Systems Based on Gaussian Mixture Models

Self-Adaptive Multi-Sensor Activity Recognition Systems Based on Gaussian Mixture Models

Personal wearables such as smartphones or smartwatches are increasingly utilized in everyday life. Frequently, activity recognition is performed on these devices to estimate the current user status and trigger automated actions according to the user’s needs. In this article, we focus on th...

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Bibliographic Details
Main Authors: Martin Jänicke, Bernhard Sick, Sven Tomforde
Format: Article
Language:English
Published: MDPI AG 2018-09-01
Series:Informatics
Subjects:
Self-Adaptation
Sensor-Adaptation
Multi-Sensor system
Gaussian Mixture Models
Label inference
Label propagation
Online Access:http://www.mdpi.com/2227-9709/5/3/38

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http://www.mdpi.com/2227-9709/5/3/38

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