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

M Yu; Y Yu; A Rhuma; SMR Naqvi; L Wang; JA Chambers

doi:10.1109/JBHI.2013.2274479

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Journal article

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

M Yu, Y Yu, A Rhuma, SMR Naqvi, L Wang and JA Chambers

IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, Vol.17(6), pp.1002-1014

01/11/2013

DOI: https://doi.org/10.1109/JBHI.2013.2274479

Abstract

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

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Title: An Online One Class Support Vector Machine-Based Person-Specific Fall Detection System for Monitoring an Elderly Individual in a Room Environment
Creators: M Yu
Y Yu
A Rhuma
SMR Naqvi
L Wang
JA Chambers
Publication Details: IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, Vol.17(6), pp.1002-1014
Publisher: IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Date published: 01/11/2013
Date submitted: 17/05/2017
Identifiers: 99516748402346
Academic Unit: University of Surrey
Language: English
Resource Type: Journal article

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

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