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dc.contributor.authorDanielsen, Asbjørn
dc.contributor.authorTørresen, Jim
dc.date.accessioned2017-08-30T06:28:14Z
dc.date.available2017-08-30T06:28:14Z
dc.date.issued2017-06-09
dc.description.abstractFalls in homes of the elderly, in residential care facilities and in hospitals commonly occur in close proximity to the bed. Most approaches for recognizing falls use cameras, which challenge privacy, or sensor devices attached to the bed or the body to recognize bedside events and bedside falls. We use data collected from a ceiling mounted 80 60 thermal array combined with an ultrasonic sensor device. This approach makes it possible to monitor activity while preserving privacy in a non-intrusive manner. We evaluate three different approaches towards recognizing location and posture of an individual. Bedside events are recognized using a 10-second floating image rule/filter-based approach, recognizing bedside falls with 98.62% accuracy. Bed-entry and exit events are recognized with 98.66% and 96.73% accuracy, respectively.en_US
dc.descriptionSource at <a href=http://dx.doi.org/10.3390/s17061342> http://dx.doi.org/10.3390/s17061342 </a>en_US
dc.identifier.citationDanielsen A, Tørresen J. Recognizing Bedside Events Using Thermal and Ultrasonic Readings. Sensors. 2017;17(6):1-19en_US
dc.identifier.cristinIDFRIDAID 1477940
dc.identifier.doi10.3390/s17061342
dc.identifier.issn1424-8220
dc.identifier.urihttps://hdl.handle.net/10037/11398
dc.language.isoengen_US
dc.publisherMDPIen_US
dc.relation.journalSensors
dc.relation.projectIDeu-repo/grantAgreement/RCN/IKTPLUSS/247697/NORWAY/MultimodalElderlyCareSystems//en_US
dc.rights.accessRightsopenAccessen_US
dc.subjectVDP::Teknologi: 500::Medisinsk teknologi: 620en_US
dc.subjectVDP::Technology: 500::Medical technology: 620en_US
dc.titleRecognizing Bedside Events Using Thermal and Ultrasonic Readingsen_US
dc.typeJournal articleen_US
dc.typeTidsskriftartikkelen_US
dc.typePeer revieweden_US


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