Improving Activity Recognition Accuracy in Ambient-Assisted Living Systems by Automated Feature Engineering

Improving Activity Recognition Accuracy in Ambient-Assisted Living Systems by Automated Feature Engineering

Ambient-assisted living (AAL) is promising to become a supplement of the current care models, providing enhanced living experience to people within context-aware homes and smart environments. Activity recognition based on sensory data in AAL systems is an important task because 1) it can be used for...

Full description

Bibliographic Details
Main Authors: Eftim Zdravevski, Petre Lameski, Vladimir Trajkovik, Andrea Kulakov, Ivan Chorbev, Rossitza Goleva, Nuno Pombo, Nuno Garcia
Format: Article
Language:English
Published: IEEE 2017-01-01
Series:IEEE Access
Subjects:
Feature extraction
time series analysis
ambient intelligence
wearable sensors
sensor fusion
pattern recognition
Online Access:https://ieeexplore.ieee.org/document/7883880/

Internet

https://ieeexplore.ieee.org/document/7883880/

Similar Items