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

IEEE Transactions on Automation Science and Engineering

Volumn 12, Issue 4, 2015, Pages 1225-1234

  Zhu, Chun ^a   Sheng, Weihua ^b   Liu, Meiqin ^c  

^a MICROSOFT   (United States)

^b OKLAHOMA STATE UNIVERSITY   (United States)

^c ZHEJIANG UNIVERSITY   (China)

Author keywords

Anomaly detection; assisted living; smart home; wearable computing

Indexed keywords

AUTOMATION; BAYESIAN NETWORKS; BEHAVIORAL RESEARCH; BIOLOGICAL SYSTEMS; COMPLEX NETWORKS; INTELLIGENT BUILDINGS; KNOWLEDGE BASED SYSTEMS; MAXIMUM LIKELIHOOD; MAXIMUM LIKELIHOOD ESTIMATION; WEARABLE TECHNOLOGY;

ANOMALY DETECTION; ANOMALY DETECTION FRAMEWORKS; ANOMALY DETECTION MODELS; ANOMALY DETECTION SYSTEMS; DYNAMIC BAYESIAN NETWORKS; EXPERIMENTAL EVALUATION; SPATIAL ANOMALIES; THEORETICAL FRAMEWORK;

WEARABLE SENSORS;

EID: 84960321015     PISSN: 15455955     EISSN: None     Source Type: Journal    
DOI: 10.1109/TASE.2015.2474743     Document Type: Article

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