Wearable Sensor-Based Behavioral Anomaly Detection in Smart Assisted Living Systems

Detecting behavioral anomalies in human daily life is important to developing smart assisted-living systems for elderly care. Based on data collected from wearable motion sensors and the associated locational context, this paper presents a coherent anomaly detection framework to effectively detect d...

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Bibliographic Details
Published in:IEEE transactions on automation science and engineering 2015-10, Vol.12 (4), p.1225-1234
Main Authors: Zhu, Chun, Sheng, Weihua, Liu, Meiqin
Format: Article
Language:English
Subjects:
Algorithms
Anomalies
Anomaly detection
Artificial intelligence
Assisted living
Assisted living facilities
Automation
Bayesian analysis
Dynamical systems
Dynamics
Elder care
Elderly people
Human behavior
Intelligent sensors
Laplace transforms
Robot sensing systems
Sensors
smart home
Smart homes
Wearable
Wearable computers
wearable computing
Wearable sensors
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