An on-node processing approach for anomaly detection in gait

IEEE Sensors Journal

Volumn 15, Issue 11, 2015, Pages 6640-6649

  Cola, Guglielmo ^a   Avvenuti, Marco ^a   Vecchio, Alessio ^a   Yang, Guang Zhong ^b   Lo, Benny ^b  

^a UNIVERSITY OF PISA   (Italy)

^b IMPERIAL COLLEGE LONDON   (United Kingdom)

Author keywords

Activity monitoring; Anomaly detection; Fall risk assessment; Gait analysis; Wearable sensors

Indexed keywords

ACCELEROMETERS; GAIT ANALYSIS; PHYSIOLOGICAL MODELS; RISK ASSESSMENT; WEARABLE SENSORS;

ACTIVITY MONITORING; ANOMALY DETECTION; CONTINUOUS MONITORING; EARLY INTERVENTION; MOBILITY ASSESSMENTS; PROCESSING APPROACH; UNOBTRUSIVE MONITORING; WEARABLE DEVICES;

PATTERN RECOGNITION;

EID: 84946106950     PISSN: 1530437X     EISSN: None     Source Type: Journal    
DOI: 10.1109/JSEN.2015.2464774     Document Type: Article

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