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dc.contributor.authorDobrucali O.en_US
dc.contributor.authorBarshan, B.en_US
dc.date.accessioned2016-02-08T11:39:52Z
dc.date.available2016-02-08T11:39:52Z
dc.date.issued2014en_US
dc.identifier.urihttp://hdl.handle.net/11693/26930
dc.description.abstractSelecting a suitable sensor configuration is an important aspect of recognizing human activities with wearable motion sensors. This problem encompasses selecting the number and type of the sensors, their position on the human body. In earlier works, researchers have used customized sensor configurations, and compared them with others in terms of the activity recognition rate. However, it is clear that these comparisons are dependent on the feature sets and classifiers employed. In this study, employing mutual information measure, sensor configurations are determined with respect to the time-domain distributions of the raw sensor measurements. The most informative axes of the accelerometers, gyroscopes, and magnetometers fixed at several locations on the human body are detected. © 2014 IEEE.en_US
dc.language.isoTurkishen_US
dc.source.title2014 22nd Signal Processing and Communications Applications Conference, SIU 2014 - Proceedingsen_US
dc.relation.isversionofhttp://dx.doi.org/10.1109/SIU.2014.6830635en_US
dc.subjecthuman activity recognitionen_US
dc.subjectmutual informationen_US
dc.subjectsensor configurationen_US
dc.subjectwearable motion sensorsen_US
dc.subjectPattern recognitionen_US
dc.subjectSignal processingen_US
dc.subjectActivity recognitionen_US
dc.subjectFeature setsen_US
dc.subjectHuman activitiesen_US
dc.subjectHuman activity recognitionen_US
dc.subjectMotion sensorsen_US
dc.subjectMutual information measuresen_US
dc.subjectMutual informationsen_US
dc.subjectSensor configurationsen_US
dc.subjectSensorsen_US
dc.titleThe analysis of wearable motion sensors in human activity recognition based on mutual information criterionen_US
dc.title.alternativeKarşilikli bilgi ölçütü kullanilarak giyilebilir hareket duyucu sinyallerinin aktivite tanima amaçli analizien_US
dc.typeConference Paperen_US
dc.departmentDepartment of Electrical and Electronics Engineering
dc.citation.spage1938en_US
dc.citation.epage1941en_US
dc.identifier.doi10.1109/SIU.2014.6830635en_US
dc.publisherIEEE Computer Societyen_US


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