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An Online One Class Support Vector Machine-Based Person-Specific Fall Detection System for Monitoring an Elderly Individual in a Room Environment

Yu, M, Yu, Y, Rhuma, A, Naqvi, SMR, Wang, L and Chambers, JA (2013) An Online One Class Support Vector Machine-Based Person-Specific Fall Detection System for Monitoring an Elderly Individual in a Room Environment IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, 17 (6). pp. 1002-1014.

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Item Type: Article
Authors :
NameEmailORCID
Yu, MUNSPECIFIEDUNSPECIFIED
Yu, YUNSPECIFIEDUNSPECIFIED
Rhuma, AUNSPECIFIEDUNSPECIFIED
Naqvi, SMRUNSPECIFIEDUNSPECIFIED
Wang, LUNSPECIFIEDUNSPECIFIED
Chambers, JAj.a.chambers@surrey.ac.ukUNSPECIFIED
Date : 1 November 2013
Identification Number : 10.1109/JBHI.2013.2274479
Uncontrolled Keywords : Science & Technology, Technology, Life Sciences & Biomedicine, Computer Science, Information Systems, Computer Science, Interdisciplinary Applications, Mathematical & Computational Biology, Medical Informatics, Computer Science, Assistive living, fall detection, health care, online one class support vector machine (OCSVM), posture detection, REAL-TIME, HOME-ENVIRONMENT, HUMAN-BODY, IMPLEMENTATION, CLASSIFICATION, SEGMENTATION, SURVEILLANCE, RECOGNITION
Related URLs :
Depositing User : Symplectic Elements
Date Deposited : 17 May 2017 13:24
Last Modified : 17 May 2017 13:24
URI: http://epubs.surrey.ac.uk/id/eprint/839072

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