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

Volume: 5, Pages: 5262 - 5280
Published: Jan 1, 2017
Abstract
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 estimation of levels of physical activity, 2) it can lead to detecting changes of daily patterns that may indicate an emerging medical condition, or...
Paper Details
Title
Improving Activity Recognition Accuracy in Ambient-Assisted Living Systems by Automated Feature Engineering
Published Date
Jan 1, 2017
Volume
5
Pages
5262 - 5280
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